Automation, Robotics, Control Engineering 2026

This book examines the applications, trends and challenges of 5G Enabled technologies for Smart City and Urbanization systems. 

1: 5G With Emerging Technology and its Implication 2: Architectural Design Principles for Smart and Sustainable Cities 3: Various Frameworks for Smart City and Urbanization System 4: Different Methodologies for Smart City and Urbanization System 5: Analysis of the Techniques used in the Development of Smart Cities and Urbanization Systems 6: 5G Oriented Positioning Technology 7: Massive IoT for Industry Urbanization: Challenges, Emerging Trends, and Usecase Scenario 8: Iterative approach to implement and deployment for Smart City and Urbanization 9: From Concept to Reality: The Iterative Path of Smart City Implementation 10: Trends and Challenges in Development of Smart City and Urbanization System 11: Trust, Interpretability, and Explainability for Ensuring 5G-Enabled Smart City Security 12: Enhancing Project Security: Unveiling Trust, Interpretability, and Explainability in the Age of AI 13: Global Software Development for Smart Cities 14: Applications: Smart City and Urbanization Systems 15: Empowering the Future: Digital Twins and Connectivity in Smart City Development

Krishnamoorthi, K.S. | Bukkapatnam, Satish T. S. | Krishnamoorthi, V. Ram

Integrating Statistical and Management Methods of Quality, Fourth Edition

Quality Control & Reliability

The quality knowledge landscape is rapidly evolving alongside advancements in information technology and manufacturing methods. This convergence necessitates updated educational resources to equip future engineers and managers with the integrated expertise needed for implementing modern quality systems that span entire production ecosystems.

1. Introduction to Quality. 2. Statistics for Quality. 3. Quality in Design. 4. Quality in Production – Process Control I. 5. Quality in Production – Process Control II. 6. Quality in Procurement. 7. Continuous Improvement of Quality. 8. Managing for Quality and Quality Management Systems. 9. Quality for the 21st Century. Appendixes.

Ikuabe, Matthew | Aigbavboa, Clinton | Anumba, Chimay J | Oke, Ayodeji

A Roadmap for the Uptake of Cyber-Physical Systems for Facilities Management

This is the first book to conceptualise and develop a roadmap for the adoption of Cyber-Physical Systems (CPS) for facilities management in developing countries.

PREFACE 6
CHAPTER ONE - INTRODUCTION 9
CHAPTER TWO - THEORETICAL PERSPECTIVES OF FACILITIES MANAGEMENT 23
CHAPTER THREE - DIGITAL TECHNOLOGIES FOR FACILITIES MANAGEMENT 42
CHAPTER FOUR - THEORETICAL PERSPECTIVES OF CYBER-PHYSICAL SYSTEMS 57
CHAPTER FIVE - THEORETICAL PERSPECTIVES OF TECHNOLOGY ADOPTION 77
CHAPTER SIX - GAPS IN TECHNOLOGY ADOPTION RESEARCH 93
CHAPTER SEVEN - CONCEPTUALISED ADOPTION MODEL OF CYBER-PHYSICAL SYSTEMS FOR FACILITIES MANAGEMENT 113
CHAPTER EIGHT - ASSESSING THE CONCEPTUALISED CYBER-PHYSICAL SYSTEMS ADOPTION MODEL FOR FACILITIES MANAGEMENT – A DELPHI STUDY 124

Junejo, Abdul Khalique | Xu, Wei | Tang, Yirong

This book presents advances in control technologies for efficient operation of permeant magnet synchronous machines (PMSMs) and linear induction machines (LIMs) based on sliding mode control (SMC).

1. Introduction 2. Robust Speed Control of the PMSM Based on the Continuous Fast Terminal Sliding Mode Control 3. Extended State Observer-Based Sliding Mode Control of Permanent Magnet Synchronous Motors 4. Novel Speed Control of PMSM Drive System Based on Adaptive Sliding Mode Reaching Law 5. Improved Reaching Law-Based Sliding Mode Control with Extended State Observer of PMSM Drive System 6. Sliding Mode Speed Regulation on LIMs Based on Direct Thrust Control with Space Vector Modulation Strategy 7. Improved Drive Performance of LIM Based on Double-Power Sliding Mode Reaching Law under the DTC Method 8. Cascaded Sliding Mode Control under Direct Thrust Control for Linear Induction Machines Based on Linear Metro 9 Improved Full-Order Sliding Mode Based on Model Predictive Flux Control for LIMs Applied to Urban Transit 10 Conclusions and Future Works

Manufacturing & Processing

At the core of the book are several application areas where Industry 4.0 has been or can be applied, each treated as a complete chapter. This book also provides an introduction to the fourth industrial revolution, discussion and reflection that will lead the reader into a deeper understanding of the nature of the concept.

SECTION I Skills for Industry 4.0 1. Skills for Industry 4.0: Navigating Uncertainty in a Digital Era SECTION II Healthcare and Industry 4.0 2. Comprehensive Insights and Systematic Integration of the Fourth Industrial Revolution and Lean Concepts in the Healthcare Sector SECTION III Industrial Engineering and Industry 4.0 3. Analysis of a Hypothetical Humanitarian Supply Chain with Agent-Based Simulation: The Expected Istanbul Earthquake 4. Comprehensive Survey on Artificial Intelligence in Blockchain: A Futuristic Integration 5. Impact of Renewable Energy Resources and Industry 4.0 on Growth of Economics and Policy for Developing Nations SECTION IV Additive Manufacturing and Industry 4.0 6. Revolutionizing Industrial Engineering: Exploring Additive Manufacturing Technologies in the Era of Industry 4.0 7. Additive Manufacturing Technologies for On-Demand Production of Customised Goods in the Era of the 4th Industrial Revolution 8. Computational Analysis of the Mechanical Compression of Additive Manufactured Lattice Structures: A Numerical Study SECTION V Applications of Industry 4.0 9. Rethinking Manufacturing Workflows for Digital Convergence: The Royal Australian Air Force 10. State of the Art on Hybrid Harvesting for Sustainable Micro-Energy Generation in the Industry 4.0 Era

Automated Decision-Making, Digital Forensics, and Ethical Considerations

Production Systems & Automation

Artificial Intelligence (AI) has made significant advancements in various sectors of society.The utilization of AI brings forth crucial legal, ethical, and technical concerns and obstacles that must be appropriately addressed through thoughtful deliberation, discussions, and the implementation of effective regulations.

1. Evolution of Technologies: A Comprehensive Analysis of AI, Blockchain, and Big Data Analytics. 2. Introduction to Digital Forensics. 3. AI in Digital Forensics. 4. Forensic Intelligence: Bridging Science and Technology in the Digital Era. 5. Preventing Online Financial Frauds: Carrying Out Digital Forensic Investigation of Artificial Intelligence. 6. Path to intellectual revolution in digital forensics. 7. AI-based environmental information system for decision making in public administrations. 8. An In-Depth Exploration of Predictive Justice with AI. 9. Developments on Generative AI. 10. Ethical Dimensions of Artificial Intelligence Balancing Innovation and Responsibility. 11.Integrating Cyber Security in the Design and Implementation of Intelligent and Sustainable Manufacturing Systems. 12. An Invisible THreat to the Security of nations in the Age of "Deepfakes."

Reference (DRM-Free)

Ergonomics & Industrial Engineering

https://www.routledge.com/p/book/9781032817477

Production Systems & Automation

Integrated Manufacturing Systems

Artificial Intelligence (AI) is revolutionizing the manufacturing industry by automating tasks at a speed, scale, and scope that far surpasses human capabilities. As AI continues to advance, it is clear that the future of manufacturing will be driven by intelligent systems. 

1. Advanced Manufacturing Techniques of Additive Manufacturing Processes: A State-of-the-Art Review and Future Applications. 2. Predicting Productivity and Surface Quality in EN19 Alloy Electrical Discharge Machining Using Machine Learning Regression Models. 3. Implementation of AI and Industry 4.0 in Additive Manufacturing Processes. 4. Investigation on Damper Material While Designing and Simulation of Low-Cost Magnetorheological Fluid: A Manufacturing Systems-Based Case Study. 5. Case Study, Future Trends, and Innovations in AIoT-Based Manufacturing Technologies. 6. Green Composite: AI-Based Fabrication, Characterization, Evaluation, and Application. 7. IoT-Based Algorithms for Robots: A Case Study on Remanufacturing. 8. AI-Based Scientometric Analysis of Post-Processing in Additively Manufactured Structure: Insights from 2013 to 2023.

Supplementary (DRM-Free)

Ergonomics & Industrial Engineering

https://www.routledge.com/p/book/9781032827841

Quality Control & Reliability

This is the third edition of Asset Management Excellence.

1. Asset Management Excellence.  2. Asset Classes and the World of Life Cycle Asset Management.  3. A Framework for Asset Management.  4. Measurement of Asset Management.  5. Asset Management Systems and Technology.  6. Maintenance Parts Management Optimization.  7. Assessing and Managing Risk.  8. Reliability by Design - Reliability-centred Maintenance.  9. Reliability by Operator: Total Productive Maintenance (TPM).  10. Reliability Management and Maintenance Optimization: Basic Statistics and Economics.  11. Maintenance Optimization Models.  12. Optimizing Maintenance and Replacement Decisions.  13. A Maintenance Assessment Case Study.  14. Real Estate, Facilities and Construction.  15. IT Service Management Lifecycle.  16. Information Technology Asset Management.  17. Achieving Asset Management Excellence.  18. Enabling Change in Asset Management.  19. Sustainability and Asset Management.  20. Technology Trends in Asset Management.  Appendix A. References, Facts, Figures and Formulas.  Appendix B. Emerging Asset Management Standards in Industry.  

This book brings out analytical s and research outcomes of novel Assistive Robots that are deployed in healthcare or surveillance & indoor service or agricultural activity. It attends to specific design-thread and hardware s of the ensemble domain of assistive robots. 

Chapter 1. Design of Intelligent Autonomous Mobility Assistance in Robotic Wheelchairs. Chapter 2. Gesture-Driven Assistive Robots for Autism Spectrum Disorder Treatment. Chapter 3. A Novel Robotic Design for Children with Autism Spectrum Disorders: The Panda Robot. Chapter 4. Comprehensive Design and Hardware Insights for an Expressive Universal Robot Assisting Elderly and Autistic Children. Chapter 5. Assistive Robots in Agriculture. Chapter 6. Robotic Assistance in Vertical Farming. Chapter 7. AI Based Vision Guided Robot For Indian Agriculture. Chapter 8. Assistive ‘Mother-Daughter’ Robots in Agriculture: A Design Schematic from Biological Worm C.elegans. Chapter 9. Design and Control of a Bionic Hand with Computer Vision Integration and High Grip Force for Intuitive Human-Machine Interaction. Chapter 10. Bio-Inspired Robots for Surveillance and Assistance. Chapter 11. Flexible Electronics for Compact-Volume Assistive Robots. Chapter 12. Design of Rolling Capsule-type Miniature Robot (RCMR) for Duct Inspection. Chapter 13. Electromyography for Assistive Robotics: A Wide Horizon. Chapter 14. A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle. Chapter 15. Robotic Leech: A Journey from Ideation to Articulation. Chapter 16. Robotic Catheters: Types and Examples. Chapter 17. Wearable Robots for Performance Enhancement of Occupational Workers

It details relevant research towards design as well as modeling issues for the firmware of higher-order Flexible Robotic Systems (FRS) with chapters delineating state-of-the-art research in FRS, focusing on novel designs and prototype hardware development of different types of multi-link serial-chain and closed-loop flexible manipulators.

Chapter 1. Data-Driven Approaches to Real-Time Constrained Tracking Control of Redundant Manipulators. Chapter 2. Mastering Control: A Haptic Robotic Arm with Intuitive Joystick Control and Programmable Sequences. Chapter 3. Visual Saliency under Uncertain Workspace of Assistive Robots. Chapter 4. Engineering a Better Walk: Concepts of Gait Analysis for Development of Rehabilitative Exoskeleton. Chapter 5. Construction and Control of a Cable-Driven Gait Assistance Exosuit Based on Kinematic Synergies. Chapter 6. Assistive Telerobotics and Intuitive Interaction. Chapter 7. An automated Framework based on UAV and Convolutional Neural Networks for the Detection of Xylella Fastidiosa Disease in Olive Trees. Chapter 8. A State-of-the-Art Review on Garbage Collection and Segregation Robot. Chapter 9. Forward and Inverse Problems Relating to an Assistive Robotic Manipulator in an Uncertain Environment. Chapter 10. Development of Intelligent Control Systems for Assistive Robots. Chapter 11. Depth Estimation and 3D Mapping of Navigable Indoor Environments for Assistive Robots. Chapter 12. Positional Control of a 3D Printed Indigenous 6 DoF Feeding Robotic Arm using ANFIS and Fuzzy-PID Controller. Chapter 13. Control Issues in Haptic Robot Navigation and Object/Obstacle Recognition Using a Flexible Sensing Antenna. Chapter 14. Flexible Link Lumped Masses Manipulators: Modeling and Control. Chapter 15. Robotic Grasp Prehension: Novel Design Metrics for Assistive Systems using Compliance. Chapter 16. Modelling and Mapping of an Autonomous Assistive Robot for Material Handling in Dynamic Indoor Environments. Chapter 17. Synthesis of Sensor-Assisted Robotic Grasp using Customized Graphical User Interface

This book brings out research outcomes and analytical s of novel Assistive Robots that are deployed in healthcare or indoor service (including surveillance) or agricultural activity. 

Volume 1. Chapter 1. Design of Intelligent Autonomous Mobility Assistance in Robotic Wheelchairs. Chapter 2. Gesture-Driven Assistive Robots for Autism Spectrum Disorder Treatment. Chapter 3. A Novel Robotic Design for Children with Autism Spectrum Disorders: The Panda Robot. Chapter 4. Comprehensive Design and Hardware Insights for an Expressive Universal Robot Assisting Elderly and Autistic Children. Chapter 5. Assistive Robots in Agriculture. Chapter 6. Robotic Assistance in Vertical Farming. Chapter 7. AI Based Vision Guided Robot For Indian Agriculture. Chapter 8. Assistive ‘Mother-Daughter’ Robots in Agriculture: A Design Schematic from Biological Worm C.elegans. Chapter 9. Design and Control of a Bionic Hand with Computer Vision Integration and High Grip Force for Intuitive Human-Machine Interaction. Chapter 10. Bio-Inspired Robots for Surveillance and Assistance. Chapter 11. Flexible Electronics for Compact-Volume Assistive Robots. Chapter 12. Design of Rolling Capsule-type Miniature Robot (RCMR) for Duct Inspection. Chapter 13. Electromyography For Assistive Robotics: A Wide Horizon. Chapter 14. A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle. Chapter 15. Robotic Leech: A Journey from Ideation to Articulation. Chapter 16. Robotic Catheters: Types and Examples. Chapter 17. Wearable Robots for Performance Enhancement of Occupational Workers. Volume 2. Chapter 1. Data-Driven Approaches to Real-Time Constrained Tracking Control of Redundant Manipulators. Chapter 2. Mastering Control: A Haptic Robotic Arm with Intuitive Joystick Control and Programmable Sequences. Chapter 3. Visual Saliency under Uncertain Workspace of Assistive Robots. Chapter 4. Engineering a Better Walk: Concepts of Gait Analysis for Development of Rehabilitative Exoskeleton. Chapter 5. Construction and Control of a Cable-Driven Gait Assistance Exosuit Based on Kinematic Synergies. Chapter 6. Assistive Telerobotics and Intuitive Interaction. Chapter 7. An au

Li, Cong | Wang, Yongchao | Liu, Fangzhou | Zhang, Xinglong

Systems & Control Engineering

This book applies set-theoretic and reinforcement learning approaches to formulate, analyze and solve the challenge of ensuring  safe operation of robotic systems in an uncertain environment.

1 Introduction to Safety under Uncertainty  Section I Set-Theoretic Methods  2 Guaranteed Safety and Performance via Concurrent Learning  3 Provable Robust Safety Through Barrier Lyapunov Function  4 Safe Navigation via Integrated Perception and Control  Section II Reinforcement Learning Approaches  5 Constrained Optimal Control Through Risk-Sensitive RL  6 Safe Approximate Optimal Control via Filtered RL  7 Time-Delayed Data Informed RL for Optimal Tracking Control

Yuan, Huanhuan | Yuan, Yuan | Dong, Huapeng | Xia, Yuanqing | Wang, Mengbi

Systems & Control Engineering

Computer & Software Engineering

This work  focuses on resilience estimation and control of cyber-physical networked systems using attacker-defender game theory. It presents attack and defense strategies and describes the design and resilience of control systems to withstand cyberattacks.

1. Introduction  Part 1: Resilient Strategy to Deception Attack  2. Secure filtering under multiple missing measurements and deception attacks  3. Distributed filtering against deception attacks with quantization effect  4. Attacks Detection and Disturbance Rejection Based on ESO/ROESO for Multiagent System  Part 2: Resilient Strategies to DoS Attack  5. Resilient state estimation with multi-channel transmission under DoS attack  6. Resilient strategy under DoS attack over a multi-channel transmission framework  7. Resilient Control under DoS Attack via a Hierarchical Game  8. Resilient Strategy Design under Active Eavesdropping Attack  Part 3: Resilient Strategies for CCS against Threat  9. Dynamic pricing based resilient strategy design under jamming attack  10. Stackelberg-Game-Based Defense Analysis againstAdvanced Persistent Threats

Systems & Control Engineering

Process Control - Chemical Engineering

Due to the popularity of artificial intelligence today, scientists and practitioners tend to ignore the achievements of statistical methods. This book aims to re-establish statistical methods, especially for control practitioners, for whom the task of assessing control performance is important.

1 The scope of the book  2 Research also owns its distribution  3 Attention! Outliers!  4 Basic notions  5 Normal distribution – the peak  6 Non-Gaussian distributions – the tails  7 Extreme statistics– the power of tails  8 What happens in tails? – outliers  9 Visualization of statistical properties  10 Research derivatives  11 The feedback loop  12 Control performance assessment  13 Time matters – Control sustainability  14 Single-element, multi-element and multivariate controls  15 Systematic time series analysis procedure  16 Systematic control system assessment procedure  17 Industrial case studies

Quality Control & Reliability

This book aims to provide a systematic approach to the design, assessment, operation, and maintenance of safety barriers that are used for preventing accidents and protecting humans, equipment, and the environment.

1. Introduction of Safety Barriers. 2. Barrier Management and Non-Technical Barriers. 3. Technical Safety Barriers. 4. Hazard-barrier Identification and Qualitative Assessment. 5. Probabilistic Modeling Approaches for Barrier Engineering. 6. Performance Measures. 7. Data Analysis in Barrier Engineering. 8. Structural and Operational Analysis. 9. Test and Maintenance. 10. Dependencies within Safety Barriers. 11. Digitalization and Artificial Intelligence in Barrier Engineering. 12. Barrier Engineering and Security. 13. Barrier Engineering and Sustainability. 14. Resilience Enhancer: Extension of Safety Barrier.

Precup, Radu-Emil | Roman, Raul-Cristian | Hedrea, Elena-Lorena | Szedlak-Stinean, Alexandra-Iulia | Zamfirache, Iuliu Alexandru

Classical and Modern Optimization Techniques Applied to Control and Modeling

Systems & Control Engineering

The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications. 

Chapter 1- Introduction
Chapter 2- One-step Optimization
Chapter 3- Discrete-time Optimization
Chapter 4- Numerical Solving of Optimization Problems
Chapter 5- Metaheuristic Optimization Algorithms
Chapter 6- Optimization Algorithms in Artificial Neural Network Training
Chapter 7- Introduction to Data Mining
Chapter 8- Reinforcement Learning Applied to Optimal Control

The Internet of things (IoT), Data Science, Robotics, Cloud Computing, etc., with Artificial Intelligence are the system of interconnected computing devices, objects such as machine, animals or people.

1. Hybrid Social Spider and Grey Wolf Optimization for Enhanced Lifetime in Wireless Sensor Network 2. A Comparative Study of Explainable Artificial Intelligence Algorithms in Local Interpretable Model-Agnostic based Pneumonia Prediction 3. HERPEE: Hybrid Energy-Aware Routing Protocol with Energy Estimation in IoT-Based Sensor Networks 4. High-Accuracy Face Mask Detection in Nuclear Environments using Ensemble Learning and XGBoost 5. Contouring the Images of Lung Cancer Detection using CNN 6. Improving the Accuracy of Used Car Price Prediction Using Machine Learning Models 7. Leveraging Fractal Patterns in Machine Intelligence to Classify Brain Tumor Imaging 8. An Extreme Gradient Boosting Based Automated Software Defect Prediction Model Using Dimensionality Reduction Technique 9. Optimum Rectangular Dielectric Resonator Antenna for Sub-6GHz in Rapid 5G Communication Networks 10. Load Balancing in Cloud Computing Using Modified ANT Colony Algorithm 11. A Case Study of the Application of Deep Learning to Detect Skin Cancer 12. Machine Learning Approach for Image Caption Generation 13. Intelligent System for Corrosion Detection and Prediction System Using Deep Learning 14. Decentralized Brain Tumor Detection using Transfer Learning in Federated Frameworks 15. IoT based Anti-Collision Devices for Indian Railway: Insights to Implications 16. Deep Learning Based Face Recognition System with Modified MTCNN and FaceNet 17. Developing Encryption Strategies and Key Management Protocols that Ensure Security in Dynamic Graph Networks through the Utilization of Asymmetric Cryptography 18. Advanced Wearable Sensors for Early Parkinson’s Disease Tremor Detection using Accelerometers and Gyroscopes 19. Enhancing MNIST Digit Classification Through Integrated Machine Learning and XAI Approaches 20. Predicting Heart Disease using High Utility Itemsets Mining with an Enha

The Internet of things (IoT), Data Science, Robotics, Cloud Computing, etc., with Artificial Intelligence are the system of interconnected computing devices, objects such as machine, animals or people.

1. Hybrid Social Spider and Grey Wolf Optimization for Enhanced Lifetime in Wireless Sensor Network 2. A Comparative Study of Explainable Artificial Intelligence Algorithms in Local Interpretable Model-Agnostic based Pneumonia Prediction 3. HERPEE: Hybrid Energy-Aware Routing Protocol with Energy Estimation in IoT-Based Sensor Networks 4. High-Accuracy Face Mask Detection in Nuclear Environments using Ensemble Learning and XGBoost 5. Contouring the Images of Lung Cancer Detection using CNN 6. Improving the Accuracy of Used Car Price Prediction Using Machine Learning Models 7. Leveraging Fractal Patterns in Machine Intelligence to Classify Brain Tumor Imaging 8. An Extreme Gradient Boosting Based Automated Software Defect Prediction Model Using Dimensionality Reduction Technique 9. Optimum Rectangular Dielectric Resonator Antenna for Sub-6GHz in Rapid 5G Communication Networks 10. Load Balancing in Cloud Computing Using Modified ANT Colony Algorithm 11. A Case Study of the Application of Deep Learning to Detect Skin Cancer 12. Machine Learning Approach for Image Caption Generation 13. Intelligent System for Corrosion Detection and Prediction System Using Deep Learning 14. Decentralized Brain Tumor Detection using Transfer Learning in Federated Frameworks 15. IoT based Anti-Collision Devices for Indian Railway: Insights to Implications 16. Deep Learning Based Face Recognition System with Modified MTCNN and FaceNet 17. Developing Encryption Strategies and Key Management Protocols that Ensure Security in Dynamic Graph Networks through the Utilization of Asymmetric Cryptography 18. Advanced Wearable Sensors for Early Parkinson’s Disease Tremor Detection using Accelerometers and Gyroscopes 19. Enhancing MNIST Digit Classification Through Integrated Machine Learning and XAI Approaches 20. Predicting Heart Disease using High Utility Itemsets Mining with an Enha

Song Yongduan Song, Yongduan | Zhao, Kai | Ye, Hefu

The theory of nonlinear control systems has grown and flourished since the 1980s. Numerous texts of varying degrees of difficulty have been published on this topic.

Part 1. Fundamentals of Nonlinear Systems. 1. Introduction. 2. Fundamentals of Lyapunov Theorem. 3. Nonlinear Design Methods and Tools. Part II Control of Nonlinear Systems. 4. Control of First-order Systems. 5. Control of Normal-form Systems. 6. Control of Strict-feedback Systems. 7. Control of MIMO Systems. Part III Performance/Prescribed-time Control. 8. Accelerated Adaptive Control. 9. Control with Exponential Convergence and Prescribed Performance. 10., Finite-time Control. 11. Practical Prescribed-time Control. 12. Prescribed-time Stabilization Control. 13. Prescribed-time Tracking Control.

Systems & Control Engineering

This book covers control systems engineering principles and analysis techniques. Self-contained for two-semester courses on classical and modern control systems, including digital control. It balances theory with practical application using Matlab/Simulink simulations. Designed for undergraduate/postgraduate students and engineers.

1- Signals,Systems and Control 2- Modeling,Block Diagrams,Signal Flow 3- Time Domain Analysis 4- Stability Analysis of Linear Systems 5- Steady State Error of Linear Systems 6- Root Locus Analysis 7- Frequency Domain Analysis 8- Controller Design of Linear Systems 9- State Variable Modeling 10- State Variable Analysis 11- Controller Design via State Space

Production Systems & Automation

This new edition continues on its journey of being an introduction to the wide variety of conveyor types and application methods available.

1. Introduction. 2. Equipment Selection Guide. 3. Tabletop Chain Conveyor. 4. Belt Conveyors. 5. Static (Gravity) Conveyors. 6. Powered Conveyors. 7. Heavy Unit Load Handling Conveyors. 8. Overhead Chain. 9. Miscellaneous. 10.  Rate Calculations. 11. Integration and Control Systems. 12. Environmental Considerations.

Professional (DRM-Free)

Ergonomics & Industrial Engineering

https://www.routledge.com/p/book/9781032453620

Quality Control & Reliability

Highlighting critical issues surrounding network infrastructures, this book offers innovative methods and parameters for modeling, analyzing, enhancing reliability and safety, and addressing vulnerabilities. The primary focus of the book lies in the application of graph theory and game theory and methods in various capacities.

1. Introduction to Critical Infrastructures Safety, Reliability and Vulnerability. 2. Modelling of Critical Network Infrastructures. 3. Analysis of Critical Network Infrastructure. 4. Optimisation of Critical Network Infrastructures. 5. Summary and Final Conclusions.

Alruwaili, Ahmed | Islam, Sardar M. N. | Gondal, Iqbal

Cybersecurity in Robotic Autonomous Vehicles introduces a novel Intrusion Detection System (IDS) specifically designed for AVs, which leverages data prioritization in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms.

1. Introduction.  2. Theoretical Lens.  3. Exploring CAN Bus Security: Insights and Analysis.  4. Research Design.  5. Results and Discussion.  6. Conclusions and Future Research.  

Dancing with Roomba tells the unexpected story of the world’s favorite robot. It book provides a rare view behind the scenes, revealing how a revolutionary product came to be, how it works, and how a tiny company was able to best a crowd of corporate giants. 

1. Robot Vacuum Dreamin’ 2. Passion, Desire, and Robot Programming 3. Unfinished Symphonies  4. Power  5. Late Bloomer  6. My Real Baby and Clean  7. Coverage  8. Forging a New Machine’s Soul  9. Tango?  10. Trilobite  11. Base Camp 12. Children of Necessity  13. Reality Bites  14. Hour Eleven  15. Um, Actually…  16. Robot Replication 17. Shock and Awfulness  18. Pepsi to Pop  19. Epilogue
 

Dancing with Roomba tells the unexpected story of the world’s favorite robot. It book provides a rare view behind the scenes, revealing how a revolutionary product came to be, how it works, and how a tiny company was able to best a crowd of corporate giants. 

1. Robot Vacuum Dreamin’ 2. Passion, Desire, and Robot Programming 3. Unfinished Symphonies  4. Power  5. Late Bloomer  6. My Real Baby and Clean  7. Coverage  8. Forging a New Machine’s Soul  9. Tango?  10. Trilobite  11. Base Camp 12. Children of Necessity  13. Reality Bites  14. Hour Eleven  15. Um, Actually…  16. Robot Replication 17. Shock and Awfulness  18. Pepsi to Pop  19. Epilogue
 

Wang, Licheng | Wang, Zidong | Wei, Guoliang

Data-Rate-Constrained State Estimation and Control of Complex Networked Systems

Instrumentation, Measurement & Testing

This book presents research developments and novel methodologies on data-rate-constrained control and state estimation for complex networked systems with different kinds of encoding-decoding mechanisms.

1. Introduction 2. Gain-Scheduled State Estimation for Discrete-Time Complex Networks Under Bit-Rate Constraints 3. Partial-Neurons-Based State Estimation For Artificial Neural Networks Under Constrained Bit Rate: The Finite-Time Case 4. Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach 5. Observer-Based Consensus Control for Discrete-Time Multi- Agent Systems with Coding-Decoding Communication Protocol 6. Recursive Filtering with Measurement Fading: A Multiple Description Coding Scheme 7. Stabilization of Linear Discrete-Time Systems Over Resource-Constrained Networks Under Dynamical Multiple Description Coding Scheme 8. An Event-Triggered Encoding Approach to Control of Linear Systems under Bit Rate Conditions 9. Event-Based State Estimation under Constrained Bit Rate: An Encoding-Decoding Approach 10. Conclusions and Future Topics

Mutambara, Arthur G.O.

Second edition introduces 4IR adoption strategies for traditional intelligent control including new techniques of implementing control systems. It provides improved coverage of characteristics of feedback control, Root-Locus analysis, frequency-response analysis including updated worked examples and problems. 

1. An Introduction to Control Systems 2. Modelling of Dynamic Systems 3. Dynamic System Response 4. Characteristics of Feedback Control Systems 5. Root Locus Design Methods 6. Frequency-Response Design Methods 7. State-Space Design Methods 8. Digital Control Systems 9. Advanced Control Systems 10. AI-Based Design and Analysis of Control Systems. Appendix A Appendix B

Focusing on basic theory, emerged technologies and underlying engineering solutions, we investigate frontiers of engineering and science in design and control of physical and cyber-physical systems (CPS).

1 Systems in Physical and Cyber Domains  2 Analysis and Modeling of Physical Systems  3 Actuators, Sensors and Electronics  4 Identification of Dynamic Systems  5 Multi-Input Multi-Output Systems: Control and Optimization  6 Design, Control and Optimization of Nonlinear Dynamic Systems  7 Information Analysis and Analytics

Panigrahi, Narayan | Tripathy, Smita

Intelligent & Automated Transport System Technology

This book explains unmanned systems including unmanned aerial vehicles (UAV), autonomous under water vehicles (AUV), and unmanned ground vehicles (UGV). It also details their basic design, components/sub-components, sensors, employed payloads, and communication systems.

Chapter 1: Introduction to Unmanned Autonomous Systems (UAS)
Chapter 2: Crafting an Unmanned Aerial Vehicle (UAV)
Chapter 3: Designing the fuselage, wing, propulsion, and empennage of a fixed-wing UAV
Chapter 4: Application-specific UAVs and their requirements
Chapter 5: Classifications of different UAVs
Chapter 6: Counter-UAS systems
Chapter 7: Design criteria of a UAV for photogrammetry and ISTAR applications
Chapter 8: Autonomous Underwater Vehicles (AUVs)
Chapter 9: Essential design concepts of AUVs
Chapter 10: Unmanned Ground Vehicles (UGVs)
Chapter 11: Crafting a UGV
Chapter 12: Algorithms, control, and software used for UAS missions

Designing Faultless Mechanical Products Based on Advanced Reliability Analysis

Quality Control & Reliability

This book covers a descriptive and inferential approach of reliability design in the development process of mechanical products, along with a focus on parametric accelerated life testing and case studies. This new reliability methodology enables the engineer to uncover the faulty design of the product and avoid recalls in the marketplace.

1. Introduction to the Necessity of a Structured Design Method. 2. Probability, Statistical Distribution, and Reliability Definitions. 3. Design of Mechanical System Including Mechanisms. 4. Engineering (Dynamic) Load Analysis. 5. Mechanical System Design (Strength and Stiffness). 6. Mechanical System Failures and Quantum Mechanics. 7. Design Methodology: Parametric Accelerated Life Testing. 8. Case Investigations of Parametric Accelerated Life Testing (ALT). 9. Parametric ALT: An Influential Device for Future Engineering Evolution.

Wang, Wei | Long, Jiang | Huang, Jiangshuai | Wen, Changyun

Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems

Systems & Control Engineering

Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring.
 

Chapter 1 Introduction
Chapter 2 Preliminaries
SECTION I Consensus Control under Directed
Graph
Chapter 3 Distributed Adaptive State Feedback Control with Linearly
Parametric Reference
Chapter 4 Auxiliary Filters based Distributed Adaptive Consensus Control
Chapter 5 Hierarchical Decomposition based Distributed Adaptive Consensus
Control
SECTION II Finite-time Consensus Control
Chapter 6 Adaptive Finite-time Consensus for Uncertain Nonlinear Mechanical
Systems
SECTION III Consensus Control with
Event-triggered Communication
Chapter 7 Distributed Event-triggered Adaptive Control: Leader-following
Case
Chapter 8 Distributed Event-triggered Adaptive Control: Leaderless Case
Chapter 9 Distributed Event-triggered Adaptive Output Feedback Control
SECTION IV Applications
Chapter 10 Distributed Adaptive Formation Control of Nonholonomic
Mobile Robots
Chapter 11 Distributed Event-triggered Adaptive Attitude Synchronization of
Multiple Spacecraft
 

Vargas, Arturo Realyvásquez | Garcia Alcaraz, Jorge | Satapathy, Suchismita | Díaz-Reza, José Roberto | Lobato, Bogart Yail Marquez

Quality Control & Reliability

The industry is facing a multitude of challenges on production lines that must be systematically addressed to improve quality and productivity. One commonly utilized methodology is DMAIC (Define, Measure, Analyze, Improve, and Control). This user-friendly resource defines DMAIC concepts and tools, and includes case studies.

1. Define-Measure-Analyze-Improve-Control (DMAIC) - An Overview. 2. Auxiliary Tools in DMAIC. 3. Case Study 1. Reduction of Defective Parts on an Assembly Line. 4. Case Study 2. Production Increase.

Kumar, Kaushik | Senaras, Arzu Eren | Ranjan, Chikesh | Senaras, Onur Mesut

This book covers aerodynamics, propulsion, control, sensors, swarm coordination, defense, agriculture, logistics, environmental monitoring, policy, ethics, and emerging UAV technologies.

1 Overview of Drone Technology 2 First Generation Drones 3 Second Generation Drones 4 Third Generation Drones 5 Fourth Generation Drones 6 Fifth Generation Drones 7 Key Challenges in Drone Evolution 8 Evolutionary Impacts of UAVs on Modern Systems 9 Future of Drones

Wan, Xiongbo | Wang, Zidong | Wu, Min

Dynamic Event-Triggered Fault Diagnosis, State Estimation, and Predictive Control for Networked Systems

This book introduces novel Dynamic Event-Triggered Mechanisms (DETMs) for complex networked systems that optimize resource utilization. These include hybrid dynamic variables-dependent, hybrid adjusting variables-dependent, bounded dynamic variable/time-varying threshold-dependent and terminal constraint mechanisms.

1. Introduction 2. Fault Diagnosis for Networked Switched Systems: An Improved Dynamic Event-Based Scheme 3. Finite-Time Fault Detection Under Deception Attacks: A Hybrid Dynamic Variables-Dependent Event-Based Scheme 4. Hybrid Adjusting Variables-Dependent Event-Based Finite-Time State Estimation for Two-Time-Scale Markov Jump Complex Networks 5. Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control 6. Hybrid Variables-Dependent Event-Triggered Model Predictive Control Subject to Polytopic Uncertainties 7. Hybrid Variables-Dependent Event-Based Efficient Model Predictive Load Frequency Control for Power Systems 8. Networked Output-Feedback MPC: A Bounded Dynamic Variable and Time-Varying Threshold-Dependent Event-Based Approach 9. A Terminal Constraint Set-Dependent Mixed Time/Event-Triggered Approach to Multi-Step Fuzzy MPC 10. Conclusions and Future Topics

Qu, Bogang | Wang, Zidong | Shen, Bo

Dynamic State Estimation for Power Systems under Unconventional Measurements

This book presents advanced Dynamic State Estimation (DSE) methodologies across three power system classes: quasi-steady power systems, synchronous-generator-based multi-machine systems and renewable energy microgrids including unconventional measurements as time-delays, multi-rate measurements, and so forth.

1. Introduction 2. Outlier-Resistant Recursive State Estimation for Renewable Energy Microgrids 3. Distributed State Estimation for Renewable Energy Microgrids with Sensor Saturations 4. Event-Based Joint State and Unknown Input Estimation for Multi-Machine Power Grids 5. Decentralized Dynamic State Estimation for Multi-Machine Power Systems with Non-Gaussian Noises and Outliers 6. Secure Particle Filtering for Multi-Machine Power Grids under Paillier Encryption-Decryption Scheme 7. Fusion Estimation for A Class of Multi-Rate Power Systems with Randomly Occurring SCADA Measurement Delays 8. Anomaly-Resistant Decentralized State Estimation under Minimum Error Entropy with Fiducial Points for Wide-Area Power Systems 9. Conclusion and Further Work

Systems & Control Engineering

Electric Drives, now at 4th edition, provides a practical guide in understanding the fundamental principles and recent new knowledge of electric motion (in motoring) and electric energy flow (in generating) digital control via power electronics for energy savings and increased productivity in practically all industries.

1 Energy Conversion in Electric Drives. 2. Electric Motors and Power Electronics Converters for Drives: An Introduction 3. D.C. Brush Motors Drives. 4. Closed -Loop Motion Control in Electric Drives. 5. Induction Motors for Drives. 6. PWM Inverter-Fed Induction Motor Drives. 7. Synchronous Motors for Drives. 8. PM and Reluctance Synchronous Motor Drives. 9. Flux-Modulation Electric Motor/Generator Drives. 10. Practical Issues with PWM Converter Motor Drives  11. Large-Power Drives   12. Control of Electric Generators. 13. Scalar V/f and I–f Control of A.C. Motor Drives: An Overview  14. Multiphase Electric Machine Drives: An Overview  15. Predictive Control in Electric Drives: An Overview 

Yang, Yi | Yu, Yong-Li | Wang, Li-Chao

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying an overall summary of current research results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability analysis. Presenting practical methods and tools, it describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems.

Introduction. Concepts Related to System Availability. Approximate Solution and Its Problem for General Continuous Availability Model. Instantaneous Availability Model of Discrete-Time System under General Probability Distribution. Instantaneous Availability Model of System with Finite Time Restrained and Proof of Its Stability. Analysis and Control Method for Volatility of System Instantaneous Availability. Comparative Analysis on Discrete-Time Instantaneous Availability Models under Exponential Distribution. Analysis of Instantaneous Availability Fluctuation under Truncated Discrete Weibull Distribution. Optimal Design of Instantaneous Availability Fluctuation under Truncated and Discrete Weibull Distribution. Conclusions and Prospects. References. Index.

Fostering Women's Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigor with real-world impact, offering a comprehensive exploration of STEM experiences forged through the Partnership in Innovation for Employability (PIE) programme.

Chapter 01 Introduction to Women in STEM
Chapter 02 EUREKA STEM Robotics and Artificial Intelligence (AI) Initiatives in Wales 
Chapter 03 Industrial Sponsored STEM Star @UiTM 
Chapter 04 Exploring Challenges, Best Practices, and the Road Ahead for Digital Making Skillsets in STEM Education
Chapter 05 Congkak Quest: Enhancing STEM Skills through Game-Based Learning and Cultural Exchange 
Chapter 06 Implication, Challenges, and Moving Forward

The ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments. This handbook provides a solid understanding of the significant role that AI plays in the design and development of wearable technologies along with applications and case studies.

1. Introduction to AI. 2. Introduction to Machine Learning for Smart Wearables. 3. AI for IoT Applications in Healthcare. 4. AI in Disease Diagnosis. 5. AI in Smart Fitness Trackers. 6. AI in Robotics. 7. AI-Enabled Glasses. 8. Machine Learning Models and Algorithms for Intelligent Wearables. 9. Machine Learning Models for Regression and Classification. 10. AI in Chronic Disease Diagnosis. 11. ANN Model for Intelligent Wearables. 12. Recommendation Systems for Customers. 13. Expert Systems for Better Decision-Making. 14. Real Impacts of AI in Sports Wearables. 15. Real-Time Analysis of Machine Learning Models for Intelligent Wearables. 16. Case Studies.

This handbook introduces some of the most relevant techniques used to develop intelligent robotic systems and provides several examples of applications where robots equipped with AI are deployed to solve a task.

1. A Review on Theory and Applications for AI and Robotics. 2. Deep Learning for Robotics: from CNN to Transformers. 3. Continual Learning for Robotics in the Open World. 4. Efficient Learning through Binary Neural Networks. 5. Model Predictive Control for Robotics. 6. Fuzzy Controllers. 7. Neural Controllers. 8. Generation of Time-Optimal Trajectories. 9. A Review of visual SLAM systems in Challenging Scenarios. 10. Deep Neural Networks for Mapless Navigation in Indoor Environments. 11. Robot Audition for Egocentric Estimation. 12. Natural Language Processing for Robotics.

Industrial Engineering & Manufacturing

Production Systems & Automation

Smart manufacturing technologies are highly efficient, reliable, produce high-quality products and enable industries to quickly resond to changing market conditions. This handbook covers the transformation of conventional to smart manufacturing technologies and the impact of smart manufacturing on industrial engineering.

Section I: Transformation of Conventional to Smart Manufacturing Technologies in the Digital Age. 1. Advances in Hybrid Metal Additive Manufacturing Technology and the Challenges for Manufacturers, Software and Professionals. 2. Influence of Various Process Parameters on Bead Geometry, Mechanical Properties and Microstructural Characteristics of produced WAAMed parts in Wire Arc Additive Manufacturing (WAAM) of Metallic Alloys: A Comprehensive Review. 3. Teaching learning based Optimization for Optimizing Process Parameter In Wire Electrical Discharge Machining (WEDM). 4. Peering into the Smart Manufacturing-Material Forming and Joining: Casting, Welding to Unbind the Potential of Traditional Manufacturing. 5. Computational and experimental analysis of erosion wear in a pipeline with butterfly valves. 6. Enhancing Concrete Performance with Sugarcane Bagasse Ash: Impact on Workability, Strength and Durability. Section II: Transformation of Advanced Materials processing towards industrial Engineering. 7. Technological prospecting for the sugarcane juice extraction stage: a patentometric study on the diffuser and crushing mill process. 8. Comparative Analysis of Recycled HDPE Tiles with Graphene Against Solar Panels: A Study from The Perspective of Frugal Innovation and Technoscience as an Instrument for Technological and Social Development. 9. Feasibility Study and Design of Heat Sink of Passive Cooling System. 10. Effects of Addition of Plastic Waste on the Strength Properties of Concrete and Bituminous Asphalt. 11. Using Value Stream Mapping (VSM) as a Lean Production Tool: Streamlining the Production process in a Lubricants and Degreasers Company. 12.Study of Design Requirements for the Design of Bakelite Materials for Smart Manufacturing Applications.

Explores the foundational concepts of IIoT, emphasizing ethical development, sustainable design, and human-centric solutions. The book concludes with strategies to overcome ethical challenges, shaping a secure, inclusive, and sustainable technological future.

An Introduction to Responsible Technology in Industrial Internet of Things. Foundations of Industrial Internet of Things. Ethical Considerations in IIoT Development. Sustainable Design Principles for IoT Systems. Case Studies: Responsible IIoT Implementations Smart Bin Waste Prediction Using Machine Learning. Regulatory Landscape for Responsible IIoT Practices. Human-Centric Design in IIoT Solutions. Data Governance and Responsible Analytics in IIoT. Resilience and Reliability in Industrial IoT Networks. Collaborative Innovation for Responsible IIoT: Hybrid Approach of Seed Spreading and Weed Plucking for Enhanced Crop Yields using Machine Learning. Social Impact of IIoT: Community and Workforce Considerations. Development and Implementation of State of Charge Algorithm for Battery Management System. Strategies for Overcoming Ethical Challenges in IIoT Adoption. Security and Privacy in Industrial IoT Environments. Conclusion: Shaping a Responsible Technological Future.

Construction Management

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.

Part ¿ Introduction to Industrialized Construction in the Age of AI And Robotics  1. Industrialized Construction: An Overview  2. AI and Robotics Revolutionize Industrialized Construction  Part ¿ Industrialized Construction in the Age of AI and Robotics  3. Design in Industrialized Construction  4. Production in Industrialized Construction  5. Intelligent Supply Chain Management in Industrialized Construction 6. On-Site Assembly in Industrialized Construction  7.  Maintenance in Industrialized Construction  8. Smart Work Packaging (SWP) for Project Management in Industrialized Construction  Part ¿ Summary  9.Challenges and Limitations 10. Future Trends and Innovations  11. Conclusion  Index
 
 

Construction Management

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.

Part ¿ Introduction to Industrialized Construction in the Age of AI And Robotics  1. Industrialized Construction: An Overview  2. AI and Robotics Revolutionize Industrialized Construction  Part ¿ Industrialized Construction in the Age of AI and Robotics  3. Design in Industrialized Construction  4. Production in Industrialized Construction  5. Intelligent Supply Chain Management in Industrialized Construction 6. On-Site Assembly in Industrialized Construction  7.  Maintenance in Industrialized Construction  8. Smart Work Packaging (SWP) for Project Management in Industrialized Construction  Part ¿ Summary  9.Challenges and Limitations 10. Future Trends and Innovations  11. Conclusion  Index
 
 

Industrial Engineering & Manufacturing

Production Systems & Automation

Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the impact of Industry 4.0, which involves the integration of digital technologies into manufacturing processes within industrial engineering.

1. Introduction to Industry 4.0. 2. Security Concerns and Controls of Intelligent Cobots of Industry 4.0. 3. Big Data Analytics (BDA) for Industry 5.0. 4. Machine Learning – Enabled Predictive Analytics for Quality Assurance in Industry 4.0 and Smart Manufacturing: A Case Study on Red and White Wine Quality Classification. 5. Leveraging Clustering Algorithms for Predictive Analytics in Blockchain Networks. 6. Use of Digital Twin and Internet of Vehicles Technologies for Smart Electric Vehicles in the Manufacturing Industry. 7. AI Applications in Production. 8. IoT-Driven Supply Chain Management: A Comprehensive Framework for Smart and Sustainable Operations. 9. Supply Chain Management in the Digital Age for Industry 4.0. 10. Artificial Intelligence, Computer Vision and Robotics for Industry 5.0. 11. Data Analytics and Decision-Making in Industry 4.0. 12. Evolving Landscape of Industrial Engineering in Modern Era. 13. Artificial Intelligence (AI)-Enhanced Digital Twin Technology in Smart Manufacturing. 14. Smart Manufacturing: Navigating Challenges, Seizing Opportunities, and Charting Future Directions - A Comprehensive Review. 15. Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare. 16. Artificial Intelligence-Based Anomaly Detection for Industry 4.0: A Sustainable Approach. 17. Future of Industry 5.0 in Society 5.0: Human-Computer Interaction-Based Solutions for Next Generation. 18. The Future of Manufacturing and Artificial Intelligence: Industry 6.0 and Beyond.

Park, Hoon Cheol | Phan, Hoang-Vu

This book provides the whole design process and details of a two-winged tailless flapping-wing robot. It shares experience in bioinspiration related to the development of the KUBeetle. It explains aerodynamic forces using the unsteady blade element theory (UBET) and computational fluid dynamics (CFD) with commercial software ANSYS Fluent. 

Quality Control & Reliability

Intelligent Machinery Fault Diagnostics and Prognostics: The Future of Smart Manufacturing uses an interdisciplinary approach to provide a well-rounded understanding of smart manufacturing. 

1. Introduction to Fault Diagnostics and Prognostics: Direction Towards Smart Manufacturing 2. Advanced Diagnostics and Prognostics of Gearbox Faults in Smart Manufacturing: The Critical Role of Gearboxes 3. Vibration and Support Vector Machine-Based Fault Diagnosis of Bevel Gearbox 4. Identifying Inner-Race Fault of a Bearing Using Nonlinear Mode Decomposition Technique Supported by Blind Source Separation Methods 5. Detection and Classification of Low-Severity Stator Inter-Turn Faults in Induction Motors Using Temporal Features: A Comparative Machine Learning Approach 6. Feature Selection for Accurate Remaining Useful Life Prediction of Bearing Using Machine Learning 7. Deep Learning and Statistical Model-Based Data-Driven Intelligent Fault Prognostics of Rotary Machinery 8. Remaining Useful Life Prediction for Aircraft Structure: Towards a Digital Twin Ecosystem 9. Free Vibration Control of Crack Curved Cracked Simple Supported Beams using Fuzzy Logic Control with Particle Swarm Optimization Tuning 10. Fault Diagnosis of Composite Mono Leaf Spring based on Vibration Characteristics 11. Current Sensor Fault Tolerant Control for Model Predictive Control of Induction Motor Drives
 

Industrial Engineering & Manufacturing

Production Systems & Automation

Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities focuses on Intelligent manufacturing and the design of smart devices and products that meets the demand of Industry 4.0, manufacturing and cyber-physical systems, along with real-time data analytics for Intelligent Manufacturing.

1. Intelligent Manufacturing: Components, Challenges, and Opportunities 2. Navigating the Future of Intelligent and Smart Manufacturing: A Comprehensive Bibliometric Analysis (2012–2024) 3. Amalgamation of Disruptive Technologies for Implementation of Intelligent Manufacturing 4. Digital Twin Technology for Intelligent Manufacturing 5. Intelligent Load Migration Using Federated Learning in Intelligent Manufacturing 6. Challenges and Issues in Securing Intelligent Manufacturing Systems 7. Multi-Factor Authentication Methods for Intelligent Manufacturing 8. Light-Weight Algorithms for Enhanced Privacy and Encryption Techniques for IoT-Based Intelligent Manufacturing 9. Implementation of Intelligent Manufacturing Using Cyber-Physical Systems (CPS) 10. Use Cases of Intelligent Manufacturing 11. Case Studies of Next-Generation AI for Intelligent Manufacturing by Gautam

The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry. It offers recent developments in the creation, application, and impact of new IoMT data security, IoMT devices used in a variety of applications. 

Computer vision is an effective solution in a range of real-life applications. With the advent of the machine and deep learning s, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. A must-read for anyone working on computer vision

1. An overview of biometrics and its applications. 2. Leveraging computer vision to biometrics. 3. Demystifying deep learning for fingerprint recognition. 4. Computer vision for face recognition. 5. Robust iris-based systems via deep models.6. Security and privacy issues in biometric system.7. Deep learning-enabled solutions to countermeasure biometric attacks. 8. Biometric applications in surveillance. 9. Computer vision-assisted anti-spoofing for fingerprint systems. 10. Iris anti-spoofing through vision-based approaches. 11. Deep learning-based countermeasures for face spoof attacks. 12. Deep learning-inspired biometrics for video analysis. 13. Digital forensics and its applications. 14. Biometric-based solutions for government policies. 15. Covid-19 challenges for biometrics. 16. Computer vision for biometric applications. Issues and solutions.

Pachamuthu, Rajalakshmi | Anand, Bhaskar | Thakur, Abhishek | Alam, Parvez

LiDAR Technology for Intelligent Transportation and Autonomous Systems

This book explores the critical role of LiDAR technology in autonomous navigation and advanced driver assistance systems (ADAS). It explores the fundamental principles of LiDAR, comparing it with other sensor technologies like radar and cameras while examining the various types of LiDAR systems.

1. Introduction to LiDAR 2. LiDAR data compression 3. Ground Segmentation on LiDAR Data 4. LiDAR 3D point Cloud segmentation 5. LiDAR Based Object Detection 6. LiDAR Based Multi-Object Tracking 7. LiDAR based 3D map creation 8. LiDAR based Localization for Autonomous Navigation 9. Multi LiDAR Calibration and Setups 10. Tools for LiDAR data Processing

Jafri, Noman | Shafi, Imran | Zaman, Uzair Khaleeq uz | Kumar, Atal Anil

Systems & Control Engineering

This textbook examines classical and modern control strategies toward systems' best performance, especially concerning design and operations. It simplifies control theory concepts through related mathematics and examples of real-life systems worldwide.

1. Linear Control System. 2. Laplace Transform. 3. Modeling of Control System-Transfer Function Approach. 4. Modeling of Control Systems - Signal Flow Graph Approach. 5. System Types and Steady-State Error Description. 6. Time Response Analysis. 7. Stability of Linear Systems. 8. Control System Analysis and Design by Root Locus Analysis. 9. Frequency Domain Analysis of Control Systems. 10. State Variable Method for Analysis of Control Systems. 11. Modern Methods for Analysis of Control Systems. 

Yu, Junzhi | Cao, Zhiqiang | Guan, Peiyu | Wang, Chengpeng

Localization and mapping play a critical role in the autonomous task execution of mobile robots. This book covers the theoretical and technological aspects of robot localization and mapping, including visual localization and mapping, visual relocalization, LiDAR localization and mapping, and place recognition. 

1 Introduction  2 Mathematical Foundation of Localization and Mapping Theory  3 Real-time Semantic Visual SLAM with Points and Objects  4 Visual Relocalization from the Perspective of Scene Coordinate Regression Network  5 Visual Relocalization from the Perspective of Place Recognition  6 Robot Visual Localization Framework Based on Offline Hybrid Map  7 Hierarchical LiDAR Odometry via Maximum Likelihood Estimation with Tightly Associated Distributions  8 Hierarchical Distribution-based Tightly-Coupled LiDAR Inertial Odometry  9 LiDAR Place Recognition Based on Range Image and Column-Shift-Invariant Attention  10 Summary and Outlook

This book examines the latest achievements in agricultural mobile robots, specifically those that are used for autonomous weed control, field scouting, mowing, and harvesting. The book examines object identification, task planning algorithms, digitalization and optimization of sensors and the challenges in the context of digital farming.

Chapter 1- Sensors, Algorithms, and Software for Autonomous Navigation of Agricultural Mobile Robots
Chapter 2- Robot-Assisted Soil Apparent Electrical Conductivity Measurements in Orchards
Chapter 3- Electrical Tractors for Autonomous Farming
Chapter 4- Agricultural Robotics to Revolutionize Farming: Requirements and Challenges
Chapter 5- Toward Optimizing Path Tracking of Agricultural Mobile Robots with Different Steering Mechanisms: A Simulation Framework

Song, Yan | Wang, Zidong | Zhang, Bin

Model Predictive Control (MPC) has advanced as a robust method for managing complex dynamic systems, surpassing traditional control strategies in performance and constraint handling. This book explores MPC theory and applications, focusing on robust MPC (RMPC) for systems with uncertainties.

1 Introduction  2 H2/H8 MPC for Polytopic Uncertain under Weighted MEF-TOD Protocol  3 Security-based MPC for Polytopic Uncertain Systems Subject to Deception Attacks and Round-Robin Protocol  4 N-Step MPC for Uncertain Systems with Persistent Bounded Disturbances under Stochastic Communication Protocol  5 Observer-Based N-step MPC for Networked Control Systems under Encoding-Decoding Communication Protocol    6 Resilient Robust MPC for Markovian Jump Switching Systems under Asynchronous Detected Scenario    7 Asynchronous Constrained MPC for Markovian Jump Switching Systems: An Optimizing Prediction Dynamics Approach  8 Efficient MPC for Nonlinear Systems in Interval Type-2 T-S Fuzzy Form under Round-Robin Protocol    9 Efficient MPC for Nonlinear Systems in Interval Type-2 T-S Fuzzy Form under Stochastic Communication Protocol  10 Resilient MPC for Cyber-Physical Systems with State Saturation under TOD Protocol: An ADT approach  11 Conclusions and Future Topics 12 Bibliography

Modern Technologies and Tools Supporting the Development of Industry 5.0

Manufacturing & Processing

This book, a collective work of expert authors delves into the heart of Industry 5.0, exploring how it synergizes human creativity with robotic precision to redefine industrial landscapes. From collaborative robotics to sustainable development each chapter unfolds layers of knowledge essential for professionals, academics and students alike.

1. Industry 5.0: Employee Readiness for Co-Bot Workspace. 2. Automation and Robotization: An Aerial View of Industry 5.0 on Employment and Employees. 3. Structural Dimensions and Measurement of Readiness for Industry 5.0 Implementation: A Fresher Insight from SMES in Developing Country. 4. Thriving in Industry 5.0: The Evolving Role of Employees in the Age of Automation and Innovation. 5. Exploring the Impact of Collaborative Robots on Human-Machine Collaboration in the Era of Industry 5.0. 6. Harmonizing Human and Robotic Workers in Industry 5.0: Creating a Resilient, Human-Centric and Sustainable Organizational Ecosystem. 7. Impact of Industry 5.0 on Sustainable Development with Machine Learning and Role of Internal Audit: Literature Review. 8. Analysis of Industry 5.0 Contributions to Sustainable Development: From Welfare to Wellbeing. 9. Reverse Logistics and Green Supply Chain on terms of Sustainability: An Application in An Enterprise. 10. Influence of Internal Audit on Implementation of Environmental, Social and Governance (ESG) Factor: Case of Public Listed Companies in Oman. 11. Foresight the Future Consequences of Industry 5.0 in Sustainable Services Production and Consumption in Developing Countries. 12. Readiness of Enterprises to Implement Industry 5.0: Challenges and Security Concerns.

Geng, Hang | Wang, Zidong | Cheng, Yuhua

Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

Instrumentation, Measurement & Testing

This book presents the up-to-date research developments and novel methodologies on Multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment.

1.Introduction 2. Optimal Filtering for Networked Systems with Channel Fading and Measurement Censoring 3. Tobit Kalman Filter with Time-Correlated Multiplicative Sensor Noise Under Redundant Channel Transmission 4. State Estimation Under Non-Gaussian Lévy and Time-Correlated Additive Sensor Noise 5. Protocol-Based Filter Design Under Integral Measurement and Probabilistic Sensor Failure 6. Distributed Filtering Fusion over Packet-Delaying Networks Subject to Censored Data 7. Federated Filtering Fusion with Dead-Zone-Like Censoring and Dynamical Bias Under Round-Robin Protocol 8. Multi-Sensor Filtering Fusion with Parametric Uncertainty and Measurement Censoring 9. Protocol-Based Filtering Fusion for State-Saturated Systems with Dead-Zone-Like Censoring Under Deception Attacks 10. Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems Under Stochastic Communication Protocol 11. Conclusion and Furture Topics

Dhatterwal, Jagjit Singh | Kaswan, Kuldeep Singh | Batra, Reenu

This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence. Software and hardware technologies, alongside theories and methods, illustrate the application of bio-inspired artificial intelligence.

1. INTRODUCTION OF ROBOTICS 2. ROBOT MANIPULATORS 3. CONTROL MANIPULATORS 4.  GEOMETRIC TRANSFORMATIONS 5.ROBOTIC DRIVE SYSTEMS 6.NATURE INSPIRED ROBOTIC NEURAL SYSTEM 7. NATURE INSPIRED ROBOTIC IMMUNE SYSTEM 8. NATURE INSPIRED ROBOTIC BEHAVIOURAL SYSTEMS 9.COGNITIVE BEHAVIOUR OF INSPIRED ROBOTICS 10. PERCEPTION TECHNIQUES IN NATURE INSPIRED ROBOTICS 11. NATURE INSPIRED ROBOTICS AS AN EMERGING TECHNOLOGY 12. PROGRAMMING & SIMULATION 13. APPLICATION OF ROBOTICS

This international gathering provided a multidisciplinary platform for academicians, researchers, technocrats, and industry professionals to share their cutting-edge research, innovations, and insights in the domain of sustainable development.

This international gathering provided a multidisciplinary platform for academicians, researchers, technocrats, and industry professionals to share their cutting-edge research, innovations, and insights in the domain of sustainable development.

Radhakrishnan, Rahul | Ozana, Stepan

Mathematics & Statistics for Engineers

This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. The book explains how MCC is integrated into the conventional Bayesian estimation framework and their implementation to real-life problems.

1. Introduction 2. Estimation With Weighted Least Squares 3. Recursive State Estimation: Linear Systems 4. Nonlinear State Estimation 5. Maximum Correntropy Algorithms For Nonlinear Systems 6. Maximum Correntropy Algorithms For Non-Gaussian Systems 7. Angles-Only Target Tracking 8. Tracking And Interception Of Ballistic Target On Re-entry 9. Application To Process Control: Quadruple Tank System

Quality Control & Reliability

This book offers detailed insight into various business models that can be easily implemented using cutting-edge AI tools like Copilot and ChatGPT. The focus is not on creating technical models for developers, but on equipping management with the necessary tools to define the scope of work and tasks for the technical team efficiently.

1. Introduction. 2. Why Did the Data Deceive Me? 3. AI Implementation Framework. 4. Risk Mitigation and Enterprise Alignment. 5. Organization AI Culture Persona. 6. Capstone—Detailed AI Models Under Development. 7. Conclusion and Way Forward. Appendix I: Glossary of Terms. Appendix II: Variable Types. Appendix III: Major AI Resources. 

Physics-Generated AIs of Robust Nonlinear Filter and Control Designs for Complicated Man-Made Machines

This book introduces a robust H8 physical generative AI-driven filter and controller, along with a nonlinear Luenberger observer model and a state estimation error dynamic model, to effectively address HJIEs for robust H8 state estimation (filtering) and reference trajectory tracking control in nonlinear stochastic systems.

1. Introduction to Physics-Generated AI-Driven Filter and Control Scheme of Nonlinear Stochastic Systems of Man-Made Machines 2. Physics-Generated AI-Driven H8 Stabilization Control Scheme of Nonlinear Time-Varying Dynamic Systems with Its Application to Quadrotor UAV Tracking Control Design 3. Robust H8 Physics-Generated AI-Driven Filter Design of Nonlinear Stochastic Systems: with Application to Radar Detection of Incoming Missile 4. Physics-Generated AI-Driven Mixed H2/H8 Filter Design of Nonlinear Stochastic Systems for the Trajectory Estimation of Incoming Ballistic Missile 5. Physics-Generated AI-Driven Robust H8 Observer-Based Reference Tracking Control Design of Nonlinear Stochastic Systems with Application to Reference Trajectory Estimation and Tracking Control of Quadrotor UAV 6. Physics-Generated AI-Driven H2/H8 Observer-Based State Regulation Control for Nonlinear Stochastic Systems with Application to Anti-Missile Guidance Control System 7. Robust Physics-Generated AI-Driven H8 Attack-Tolerant Localization Filter-Based Path Tracking Control Design of Mobile Robot via Wireless Sensor Networks in the Intelligent Buildings and Smart Cities 8. Physics-Generated AI-Driven Decentralized H8 Team Formation Tracking Control for Large-Scale Biped Robots 9. Physics-Generated AI-Driven H8 Decentralized Attack-Tolerant Observer-Based Team Formation Network Control System of Large-Scale Quadrotor UAVs 10. Decentralized H8 Physics-Generated AI-Driven Observer-Based Attack-Tolerant Formation Tracking Network Control of Large-Scale LEO Satellites

Martell, Fernando | Sanchez, Irma Y.

Automotive Technology & Engineering

Production processes and engineered systems involve continuous and discrete variables, and the combination of continuous and sequential operation regimes. This volume covers both aspects thus provides substantial knowledge in continuous and discrete control, logic control, as well as hybrid control systems.

Preface. Mechatronic Systems. Industrial Automation and Control. Discretization of Linear Systems. System Identification. State Space Modeling.  PID Control. Model-Based Control. Multiple Loop Control Schemes. Digital Control Design. PLCs and Sequential Logic Control. Logic Control with State Machines. Multilevel Automation. Hybrid Dynamical Control. Cyber Physical Systems. Index.

Quality Control & Reliability

Projects for continuous improvement are prevalent in today's business landscape. However, individual and organizational resistance often hinders progress and inhibits results. Projects Impacting Organizational Culture: Evolution by Integrating People into the Equation is an essential guide to prevent and manage change.

Part 1: Introduction. 1. Introduction- Why This book. 2. Introducing Culture and Change. Part 2: The Basic Concepts. 3. The Psychology of Change. 4. Need to Integrate Projects. 5. Need to Integrate Projects. 6. About Continuous Communication. 7. About Coaching and Mentoring. 8. About Owners, the Board & CEOs. 9. The Role of HR. Part 3: The Path to a Robust Project. 10. The Approach. 11. The Path. Part 4: In Preparation for the Project. 12. Executive & Corporate Leadership. 13. The Sponsors’ Coalition. 14. The Facilitator Team. 15. Understanding Your Project. Part 5: Assessing the Current Situation. 16. Understanding Your Current Culture. 17. Readiness to Change. 18. What Could You Be Facing. Part 6: Designing for A New Level of Performance. 19. Designing the Global Plan. 20. Checklist for the Planning. 21. Clarity & Alignment. 22. Communication. 23. Education & Training. 24. Continuous Support. 25. Managing Resistances. 26. Recognition & Reinforcement. 27. Metrics & KPIs. Part 7: Implementing & Sustaining the Change. 28. Implementing and Learning. 29. Deploying the Change. 30. Knowledge Management. Part 8: And What Now. 31. Renewing Motivation & Continuity. Part 9: Testimonies & Case Studies. 32. Inhibitors to Project Success. 33. Working with an Open Mind. 34. Movistar’s Experience in Argentina. 35. References. 

Quality Control & Reliability

Projects for continuous improvement are prevalent in today's business landscape. However, individual and organizational resistance often hinders progress and inhibits results. Projects Impacting Organizational Culture: Evolution by Integrating People into the Equation is an essential guide to prevent and manage change.

Part 1: Introduction. 1. Introduction- Why This book. 2. Introducing Culture and Change. Part 2: The Basic Concepts. 3. The Psychology of Change. 4. Need to Integrate Projects. 5. Need to Integrate Projects. 6. About Continuous Communication. 7. About Coaching and Mentoring. 8. About Owners, the Board & CEOs. 9. The Role of HR. Part 3: The Path to a Robust Project. 10. The Approach. 11. The Path. Part 4: In Preparation for the Project. 12. Executive & Corporate Leadership. 13. The Sponsors’ Coalition. 14. The Facilitator Team. 15. Understanding Your Project. Part 5: Assessing the Current Situation. 16. Understanding Your Current Culture. 17. Readiness to Change. 18. What Could You Be Facing. Part 6: Designing for A New Level of Performance. 19. Designing the Global Plan. 20. Checklist for the Planning. 21. Clarity & Alignment. 22. Communication. 23. Education & Training. 24. Continuous Support. 25. Managing Resistances. 26. Recognition & Reinforcement. 27. Metrics & KPIs. Part 7: Implementing & Sustaining the Change. 28. Implementing and Learning. 29. Deploying the Change. 30. Knowledge Management. Part 8: And What Now. 31. Renewing Motivation & Continuity. Part 9: Testimonies & Case Studies. 32. Inhibitors to Project Success. 33. Working with an Open Mind. 34. Movistar’s Experience in Argentina. 35. References. 

Computer Science (General)

This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence.

AI-driven investment prediction: A machine learning approach for global investment analysis; Real-time event detection for public safety using deep learning: Enhanced model with hybrid CNN-LSTM-transformer and noise reduction; Architectural insights and scheduling in fog techniques computing challenges and future prospects; Advancements in deep learning techniques for diabetic retinopathy detection with statistical insights and future prospects; Intelligent detection of brain hemorrhage using deep learning algorithms: A comprehensive approach; A hybrid ensemble model for intrusion detection in cloud environment with transparent and explainable AI techniques; Real-time intrusion detection system using deep neural networks; Crop classification using deep learning and satellite data for precision agriculture; Hybrid neural network approach using LSTM and XGBoost for network intrusion detection and classification; Detection of fungal infection in dogs using deep learning techniques; Hybrid optimization algorithm for feature extraction with random forest for migraine detection; Face recognition door lock security system; WSHT: A wavelet-swin hybrid transformer for accurate and automated lung nodule segmentation in CT imaging; Exploring speech recognition and pronunciation accuracy detection techniques: A comprehensive review; Optimizing e-commerce insights through synthetic data generation and big data-driven machine learning; Secure and transparent real estate price predictions: Integrating machine learning and blockchain; Air quality monitoring system based on IoT; Intelligent diagnosis of neurological diseases: An ML model for early Alzheimer’s detection; Detecting fake voices: Survey on audio deepfake detection; Enhanced flood prediction and risk assessment using machine and deep learning-based approaches; Early prediction of multi-diseases using AI techniques to promote health and well-being; A deep hybrid approach to thyroid detection: Integrating TabNet and Vis

Computer Science (General)

This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence.

Mental disorder detection using Neuralink; Neuralink and the future of mental disorder diagnostics; Towards intelligent attendance management system with face recognition using LBPH algorithm; Vedcure: Towards intelligent ayurvedic drug recommendation and disease prediction; Intelligent anomaly detection in big data environments using unsupervised machine learning; Automated social media bot detection using metadata and machine learning; Monitoring malnutrition with machine learning: An in-depth review; Smart risk scoring: Mapping urban behaviour, pollution, and insurance costs using explainable machine learning; Comparative evaluation of LLM-based error correction on tesseract OCR output; Real-time malware detection using convolutional neural networks; Applying machine learning algorithms for the classification of sleep disorders; Deep learning-based approaches for diagnosis and detection of different types of brain cancer; Enhancing computer vision systems through integration of attention mechanisms and transformer networks for object detection; Adaptive region-based image segmentation and classification using transfer learning for agricultural disease detection systems; Implementation of advanced machine learning algorithms for predictive maintenance in industrial Internet of Things networks; Lung cancer detection model using ML algorithms by various parameters of patient; Artificial intelligence-based approaches for the early prediction and classification of pancreatic cancer conditions; Intrusion detection system using Random Forest for real-time network security; Machine learning in cybersecurity: A predictive model for threat detection; Advanced personal security application for women using AI, blockchain, and real-time monitoring; Precision aflatoxin detection in rice: A systematic review of optical sensing and a farmer-centric UV-HSI solution for smallholder agriculture; Enhancing cardiovascular disease prediction using optimized machine learning techniq

Computer Science (General)

This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence.

Volume 1  
1. The AI-Driven Investment Prediction: A Machine Learning Approach for Global Investment Analysis 2. Real-Time Event Detection for public Safety Using Deep Learning: Enhanced Model with Hybrid CNN-LSTM-Transformer and Noise Reduction 3. Architectural Insights and Scheduling Techniques in Fog Computing Challenges and Future Prospects 4. Advancements in Deep Learning Techniques for Diabetic Retinopathy Detection with Statistical Insights and Future Prospects 5. Intelligent Detection of Brain Haemorrhage using Deep Learning Algorithms: A Comprehensive Approach 6. A Hybrid Ensemble Model for Intrusion Detection in Cloud Environment with Transparent and Explainable AI Techniques 7. Real-time intrusion detection using deep neural networks 8. Crop Classification Using Deep Learning and Satellite Data for Precision Agriculture 9. A Hybrid Neural Network Approach Using LSTM and XGBoost for Network Intrusion Detection and Classification 10. Detection of fungal infection in dogs using deep learning techniques 11. Hybrid optimization algorithm for feature extraction with random forest for migraine detection 12. Face recognition door lock security system 13. WSHT: A Wavelet-Swin Hybrid Transformer for Accurate and Automated Lung Nodule Segmentation in CT Imaging 14. Exploring Speech Recognition and Pronunciation Accuracy Detection Techniques: A Comprehensive Review 15. Optimizing E-Commerce Insights Through Synthetic Data Generation and Big Data-Driven Machine Learning 16. Secure and Transparent Real Estate Price Predictions: Integrating Machine Learning and Blockchain 17. Air Quality Monitoring System Based on IoT 18. Intelligent Diagnosis of Neurological Diseases: A ML Model for Early Alzheimer's Detection 19. Detecting Fake Voices: Survey on Audio Deepfake Detection 20. Enhanced Flood Prediction and Risk Assessment using Machine and Deep Learning-Based Approaches 21. Early Prediction of Multi-Diseases Using AI Techniques to Promote Health and Wel

Quality Control & Reliability

Updated throughout for the second edition, Reliability Engineering: A Life Cycle Approach draws on the author’s global industry experience to demonstrate the invaluable role reliability engineers play in the entire life-cycle of a plant.

Chapter 1 Reliability Fundamentals I: Component Reliability
Chapter 2 Reliability Fundamentals II: System Reliability
Chapter 3 Maintenance Optimisation
Chapter 4 Condition Monitoring
Chapter 5 Incident Investigation or Root Cause Analysis
Chapter 6 Other Techniques Essential for Modern Reliability Management I
Chapter 7 Other Techniques Essential for Modern Reliability Management II
Chapter 8 Reliability Management
Chapter 9 Design Issues in Reliability Engineering and Maintenance
Chapter 10 Maintenance Planning and Scheduling
Chapter 11 ISO 55000
Appendix 1: The Standard Normal Distribution
Appendix 2: A Perspective on Robert Lusser
Reid Collins

Systems & Control Engineering

This book demonstrates how quantitative resilience methodologies can be applied to a wide range of space systems as an extension of conventional systems engineering processes. It addresses the full spectrum of threats facing modern space systems and provides a comprehensive framework for ensuring mission continuity.

1. The Space System.  2. Defining and Evaluating Resilience.  3. Threats.  4. Threat Mitigation.  5. Systems Engineering and Resilience.  6. Modeling and Calculating Resilience.  7. Designing for Resilience.  8. Applying Resilient Design Techniques.  9. The Future of Resilient Space System Design.  10. References.  

Robo-Advisors and Artificial Intelligence in Human Resources Management: Revolutionizing HR

Provides a comprehensive analysis of the relationship between technology and HRM and their impact on the nature of work in the future, focusing on how AI and robo-advisors help businesses with strategies to enhance efficiency, to introduce new methods, and to make the best use of employees in the rapidly growing business environment.

Foreword by Professor Raj Rajaram Preface Introduction 1. Transformative Talent Acquisition: Unleashing the Power of Robo-Advisors in HR for Smart and Efficient Hiring Processes 2. Robo-Advisors: Augmenting Quality of Work-Life and Employee Well-Being in Industry 5.0 3. The Impact of Gender Diversity in Leadership on Job Satisfaction Among Women Employees in Developing Economies 4. Empirical Study of Employee Engagement and Organizational Performance: HR Analytics Analysis 5. Optimizing Work Performance and Employee Behavior by Using Artificial Intelligence and Machine Learning in India 6. Artificial Intelligence as a Mediator in Recruitment Marketing 7. A Conceptual Analysis on HR Sustainability in the Age of Artificial Intelligence and Machine Learning 8. Optimizing Talent Acquisition: A Comprehensive Analysis of Recruitment and Selection Practices in the Manufacturing Industry 9. Digital Transformation in Wealth Management: Exploring How Robo-Advisors Moderate Behavioral Biases and Shape Investment Decisions 10. Optimizing Investor Confidence: Robo-Advisory Utilizing Open Interest and Options Volume for Precise Large Cap Stock Price Predictions 11. The Rise of Robo-Advisors and Shifting Consumer Purchase Intentions 12. Analyzing the Global Research Landscape of AI in Electronic Human Resources Management: A Bibliometric Approach 13. Robo-Advisors in Investment Management 14. The Transformative Impact of Robo-Advisors on Human Resource Management: A Comprehensive Analysis 15. AI and the Human Element in HR Management 16. Enhancing Robo-Advisor User Experience Through Financial Literacy and Apparent Trust

Starr, Justin | Quick, Christopher

This text provides readers with the information needed to understand robotic safety. It includes information about standards and regulations, as well as details of how to effectively use hardware devices (such as light curtains, pressure pads, and new multi-channel lidar sensors), and software algorithms to apply motion control restrictions.

1- Robotic Safety: Myth, Reality and Historical Perspective
2- Accidents, Case Studies and the Need for Safety Systems
3- Existing Safety Standards for Industrial Robotic Systems
4- Physical Safeguards
5- Implementations on Popular Industrial Robots
6- Collaborative Robots
7- Safety Systems, Controls and Cyber-Physical Systems
8- Networked Systems & Internet-based Control
9- Mobile Platforms: AGVs and AMRs
10- Drones, UAVs, and Aerial Safety
11- Safety vs. Progress & Advancing Technology
12- The Future of Robotic Safety SystemsAppendix A: Risk Assessment FormsAppendix B: Case Study: Automated Solar Panel Placement

Cao, Kai | Chen, ChaoBo | Gao, Song | Chen, YangQuan

Systems & Control Engineering

With the help of a Voronoi diagram, this book systematically discusses how to solve the core cooperative control problem in a multi-robot system. From basic theory to cutting-edge applications, the book provides a comprehensive overview of the subject matter, offering readers a rigorous and practical knowledge system.

1. Introduction  2. Geometric Properties and Computational Methods  3. Multi-Robot Cooperation and Formation  4. Multi-Robot Formation Switching  5. Multi-Robot Safety and Collision Avoidance  6. Multi-Robot Source Search and Coverage Control  7. Multi-Robot System Optimization and Health Management  8. Multi-Robot Capture  9. Reinforcement Learning and Multi-Robot Capture  10. Multi-Robot Physical Implementation  11. Conclusions and Future Prospects

This book explores the dynamic convergence of surgical robotics, artificial intelligence, and microsurgical precision in the context of ocular care. From vitreoretinal surgery to anterior segment procedures, from orbital robotics to AI-assisted platforms, this work provides an in-depth, forward-looking overview of the state of the art.

Thank You Acknowledgements About the Editor List of Contributors Preface Section I: Foundations and Evolution 1. Introduction to Robotic Surgery in Ophthalmology 2. Historical Milestones in Robotic-Assisted Surgery 3. Engineering the Future: Robotics, Artificial Intelligence, and Microsurgical Precision 4. Types of Robotic Systems Used in Ophthalmology Section II: Subspecialty Applications 5. Robotics in Vitreoretinal Surgery 6. Robotic Assistance in Cataract and Anterior Segment Surgery Section III: Clinical Integration and Technical Challenges 7. Learning Curve and Surgical Training in Robotic Ophthalmology 8. Ergonomics and Surgeon Fatigue: A Shift 9. Haptic Feedback and Tactile Limitations 10. Safety, Accuracy, and Intraoperative Monitoring of Robotic-Assisted Eye Surgery 11. Cost, Accessibility, and Health System Integration Section IV: Innovations and Breakthroughs 12. Robotic Assistance in Retinal Microvascular and Subretinal Procedures 13. Gene Therapy and Cell Delivery via Robotics 14. Teleophthalmology and Remote-Controlled Robotic Surgery 15. Artificial Intelligence and Autonomous Surgical Robotics Section V: Ethical, Regulatory, and Future Perspectives 16. Patient Autonomy and Informed Consent 17. Liability and Accountability 18. Access and Equity 19. Data Privacy and Cybersecurity 20. Surgeon Oversight and Competency 21. Patient Safety and Surgical Risk 22. Training and Credentialing for Robotic Eye Surgery 

This book explores the dynamic convergence of surgical robotics, artificial intelligence, and microsurgical precision in the context of ocular care. From vitreoretinal surgery to anterior segment procedures, from orbital robotics to AI-assisted platforms, this work provides an in-depth, forward-looking overview of the state of the art.

Thank You Acknowledgements About the Editor List of Contributors Preface Section I: Foundations and Evolution 1. Introduction to Robotic Surgery in Ophthalmology 2. Historical Milestones in Robotic-Assisted Surgery 3. Engineering the Future: Robotics, Artificial Intelligence, and Microsurgical Precision 4. Types of Robotic Systems Used in Ophthalmology Section II: Subspecialty Applications 5. Robotics in Vitreoretinal Surgery 6. Robotic Assistance in Cataract and Anterior Segment Surgery Section III: Clinical Integration and Technical Challenges 7. Learning Curve and Surgical Training in Robotic Ophthalmology 8. Ergonomics and Surgeon Fatigue: A Shift 9. Haptic Feedback and Tactile Limitations 10. Safety, Accuracy, and Intraoperative Monitoring of Robotic-Assisted Eye Surgery 11. Cost, Accessibility, and Health System Integration Section IV: Innovations and Breakthroughs 12. Robotic Assistance in Retinal Microvascular and Subretinal Procedures 13. Gene Therapy and Cell Delivery via Robotics 14. Teleophthalmology and Remote-Controlled Robotic Surgery 15. Artificial Intelligence and Autonomous Surgical Robotics Section V: Ethical, Regulatory, and Future Perspectives 16. Patient Autonomy and Informed Consent 17. Liability and Accountability 18. Access and Equity 19. Data Privacy and Cybersecurity 20. Surgeon Oversight and Competency 21. Patient Safety and Surgical Risk 22. Training and Credentialing for Robotic Eye Surgery 

Lochan, Kshetrimayum | Roy, Binoy Krishna | Subudhi, Bidyadhar | Mohan, Santhakumar

Various modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are comprehensively reviewed.

Introduction. Survey on a Two-link Flexible Manipulator. Dynamic Modelling of a Two-link Flexible Manipulator. Design of Sliding Mode Controllers for a TLFM. Design of Controllers for a TLFM using the Singular Perturbation Technique. Generalised Projective Synchronisation between Lumped Parameter Modelled TLFMs. Synchronisation between Assumed Modes Modelled TLFMs. Projective Synchronisation between Assumed Modes and Lumped Parameter Modelled TLFMs. Conclusions and Future Work. Index.

Robust H8 Team Formation Tracking Design Methods of Large-Scale UAV Networked Control Systems

Systems & Control Engineering

This book introduces the centralized robust H8 team formation tracking control strategy of multi-UAV network system under intrinsic random fluctuation, time-varying delay and packet dropout in wireless communication, and external disturbance.

1. An Introduction to Large-Scale Quadrotor UAV Networked Control System 2. Robust H8 Team Formation Tracking Control of Stochastic Multi-Quadrotor UAV Networked Control System 3. Stochastic Robust H8 Team Formation Tracking Design of Multi-Quadrotor-UAV Networked Control System under Time-Varying Delay and Random Fluctuation in Smart City 4. Decentralized H8 PID Team Formation Tracking Control of Large-Scale Quadrotor UAVs under External Disturbance and Vortex Coupling 5. Stochastic Decentralized H8 Tracking Control of Large-Scale Team Formation UAV Networked Control System with Time-Varying Delay and Packet Dropout Under Interconnected Coupling and Wiener Fluctuation 6. DNN-Based H8 Decentralized Attack-Tolerant Team Formation Tracking Design of Large-Scale UAV Networked Control System Under Time-Varying Delay and Interconnected Coupling 7. Integrating Local Motion Planning and Robust Decentralized Fault-Tolerant Tracking Control for Search and Rescue Task of Hybrid UAVs and Biped Robots Team System

Yan, Jiaqi | Mo, Yilin | Wen, Changyun

In this pioneering reference work, Yan, Mo, and Wen explain secure detection and control algorithms for cyber-physical systems; describe their history and development, recent advances, and future trends; and provide practical examples to illustrate the topic. 

1. Introduction 2. Literature Review 3. Sequential Detection with Byzantine Sensors 4. Resilient Consensus of Second-Order Systems Through Impulsive Control 5. Resilient Multi-Dimensional Consensus in Adversarial Environment 6. Resilient Containment Control in Adversarial Environment 7. Conclusions and Future Work

Quality Control & Reliability

Communications & Information Processing

This book examines the complex interplay between state-of-the-art telecommunications, smart city initiatives, and the Internet of Things (IoT), analyzing the security challenges and opportunities that emerge as the world ventures into this technological frontier of unparalleled connectivity and urbanization.

Theme 1: 6G Networks, Security, and Privacy in Smart Cities.  1. Introduction to 6G: Transforming Smart Cities.  2. Modern Perspective Knowledge of 6G Network.  3. Security Challenges in 6G Networks.  4. Security Fundamentals for Smart City and IoT Ecosystems.  5. IoT Security Architectures and Protocols.  6. Cyber-Physical Systems, Social Media in Secure IoT-enabled Smart Infrastructure.  7. Privacy-Preserving Technologies for 6G-enabled Secure Smart Cities.  8. Blockchain Complementary Model: A New Way of Devouring Smart Data by Driverless Vehicles for Next-Generation Communication.  9. Blockchain-based Secure Solutions for IoT and Smart City Ecosystems in 6G Networks.  10. Anomaly Detection in 6G Smart Cities Using Machine Learning and Deep Learning.  Theme 2: AI, Blockchain, and Emerging Technologies in 6G Smart Cities.  11. Zero Trust Schema Architecture for 6G Smart City.  12. Ethical Considerations in Smart City Design with 6G.  13. Digital Twin Convergence with 6G-Based Smart City.  14. Blockchain Technology for a Secure Environment.  15. Fusion of Emerging Technologies for 6G-Enabled Secure Smart City.  16. CPS-based Social Media 3.0 System with IoT for Revolutionizing Connectivity.  17. Emerging Advanced Technologies-based Services Scenario for Secure 6G Smart Cities.  18. The Benefits of Web and Blockchain in Decision-Making for Industry 4.0.  Theme 3: 6G-Enabled IoT, Quantum Communication, and Smart City Applications.  19. Smart Healthcare System: The Convergence of Blockchain and 6G IoT Network.  20. Revolutionizing Crisis Response by Integrating IoT and NLP in Digital Marketing for Enhanced Real-Time Response.  21. Smart Urban Green Spaces with IoT and 6G.  22. Advanced Underwater Object Detection using AI: Integrating 6G and IoT Technologies for Marine Ecosystem Monitoring.  23. Improved Solar Panel Efficiency with Co-Generation Process.  24. Emerging Advanced Technologies and Quantum Communication for Secure 6G Smart Cities: A

Quality Control & Reliability

Communications & Information Processing

Recently, the fields of Artificial Intelligence (AI) and the Internet of Things (IoT) have revolutionized numerous industries, including healthcare.This book explores the profound impact these new technologies have on healthcare, and presents a comprehensive overview of their applications, challenges, and prospects.

1. Artificial Intelligence enabled Internet of Medical Things for Enhanced Healthcare Systems. 2. Internet of Medical Things with Artificial Intelligence for Improved Healthcare Systems. 3.Block Chain for Transparent, Privacy Protected and Secure Health Data Management. 4. SPSHS: Security and Privacy Concerns in Smart Healthcare System. 5.Transforming Healthcare Engagement in the Med-Tech Industry through Digital Marketing. 6. Cloud and IoT Integration for Smart Healthcare. 7. IoT-based Effective Wearable Healthcare Monitoring System for Remote Areas. 8. Voice Signal-Based Disease Diagnosis using IoT and Learning Algorithms for Healthcare. 9.  Artificial Intelligence-Enabled Internet of Medical Things for Enhanced Healthcare Systems. 10. Role of AI and IoT based medical diagnostics smart health care system for post-Covid-19 world. 11. Integrating Sensor, Actuators and IoT for Smart Healthcare in Post COVID-19 World. 12. Design and Implementation of 3D Printed Non-invasive Mechanical Ventilator Device Against COVID-19 Pandemic. 13. A Predictive method for Emotional Sentiment Analysis by Machine Learning from EEG of Brainwave Data. 14. Marvel of Biosensors in Smart Healthcare and Application of Internet of Medical Things for Diagnosis: Unveiling Benefits, Challenges and Futuristic Approach. 15. An Application of Hybrid Machine Learning Framework to Predict the Heart Diseases in Smart Healthcare Systems. 16.Role of Artificial Intelligence in Advancing Pancreatic Cancer Research. 17. Internet of Medical Things for Abnormality Detection in Infants using Mobile Phone App with Cry Signal Analysis. 18. An IoT Based Physician Decision Supporting System for Pediatric Disease Diagnosis. 19. Leveraging ChatGPT-like Large Language Models for Alzheimer's Disease: Enhancing Care, Advancing Research, and Overcoming Challenges. 20. Elderly Fall Detection Using Deep Learning Enabled Internet of Healthcare Things. 21. AI-Powered Internet of Medical Things for Monitoring Elderly Adu

This book provides an overview of how cutting-edge technologies, i.e., artificial intelligence, data-driven analytics, large language models, simulation and digital twin, extended reality, will reshape future digital and smart logistics planning and operations.

Preface. Distribution and Logistics Network Design in Industry 5.0: Models, Methods, and the Impact of Generative AI and Large Language Models. Distribution and Logistics Network Design Using Digital Twin: Concepts, Methods, and Applications. Artificial Intelligence and Data-driven Smart Transportation and Logistics: Unsupervised Learning Models and Ensemble Learning Models. Artificial Neural Network Methods in Smart Logistics: Concept, Methods, and Applications. Embedding Social Value in Sustainable Transport and Smart Logistics Systems. Extended Reality in Warehousing: Bridging Industry 4.0 and 5.0 for Smart Logistics. Circular Economy Principles and Sustainable Logistics Practices in Industry 5.0. Reverse Logistics in Industry 5.0: Opportunities and Challenges: A Systematic Literature Review and Research Agenda.

Manufacturing & Processing

Production Systems & Automation

This book serves as a comprehensive guide for professionals, researchers, and academics looking to harness the power of cutting-edge technologies in the field of smart manufacturing. The book focuses on practical implementation, bridging the gap between theoretical concepts and real-world applications.

Chapter 1: Deep Learning-Based Improved Gait Recognition Using 3D Skeletal Data for Smart Surveillance Systems, Chapter 2: IoT-Based Automated Fog Detection System Using kNN and Real-Time Meteorological Data Analytics, Chapter 3: Intelligent Waste Classification Framework Based on Machine Learning and Deep Learning for Smart City Application, Chapter 4: AI-Powered Data Analytics for Optimizing Tea Tourism: An Investigation on Determinants and Destination Information, Chapter 5: Substation Level Short-Term Load Forecasting Using Graph-Based Signal Processing and Machine Learning Algorithms, Chapter 6: AI-Based Histopathological Image Analysis for Breast Cancer Diagnosis Using Deep and Machine Learning Algorithms, Chapter 7: AI-Optimized Active Cell Balancing Technique Using Single Inductor for Intelligent Battery Management in IoT-Enabled Energy Systems, Chapter 8: Integrated Simulation and Hardware-in-the-Loop Analysis of ISO15118-Based Smart EV Charging Communication Systems, Chapter 9: AI-Driven Analysis of Air Gap Eccentricity Effects in PMSM for Condition Monitoring in Smart Industrial Systems, Chapter 10: Deep Convolutional Neural Network-Based Smart Diagnostic System for Enhanced Breast Cancer Detection

In this book, Shiomi and Sumioka bring together contributions from researchers working on the CREST project at ATR Deep Interaction Laboratories, to describe robot touch systems from hardware to applications.

Section 1: Introduction. 1. Introduction to Social Touch in Human–Robot Interaction. Section 2: System Development for Social Touch Interaction. 2. Development of Fabric Sensor System toward Natural Pre-touch and Touch Interaction. 3. Application of Fabric Sensors for Soft Robot Hand for Positioning an Object without Touching It. 4. Wearable Tactile Sensor Suit for Natural Body Dynamics Extraction: Case Study on Posture Prediction Based on Physical Reservoir Computing. 5. SOTO: An Android Platform for Social Touch Interaction. Section 3: Modeling Pre-touch Proxemics. 6. Implementing Pre-touch Reaction Distance around Face for a Social Robot. 7. Implementing Pre-touch Reaction Distance around Upper Body Parts for a Social Robot. 8. Comparison of Pre-touch Reaction Distance between Physical and VR Environments. Section 4: Interaction Design for Touching and Being Touched. 9. Understanding Natural Reaction Time toward Touch. 10. Communication Cues Effects in Human–Robot Interaction. 11. Gaze and Height Design for Acceptable Touch Behaviors. 12. Designing Touch Characteristics to Express Simple Emotions. 13. Modeling Touch Timing and Length to Express Complex Emotions. Section 5: Behavior Change Effects in Human–Robot Touch Interaction. 14. Robot Hugs Encourage Self-disclosures. 15. Audio-Visual Stimuli Improve Both Robot’s Hug Impressions and Stress-Buffering Effects. 16. Praise with Tactile Stimulus Increases Motivation. 17. Understanding Self-Touch Behaviors and Stress-Buffering Effects. 18. Mediated Hug Modulates Impressions of Hearsay Information. 19. Multi-modal Interaction through Anthropomorphically Designed Communication Medium to Enhance the Self-disclosures of Personal Information. Section 6: Applications of Social Touch Interaction. 20. A Minimal Design of a Human Infant Presence: A Case Study toward Interactive Doll Therapy for Older Adults with Dementia. 21. Interactive Baby Robot for Seniors with Deme

Quality Control & Reliability

Statistical Methods and Applications in Systems Assurance and Quality provides a comprehensive overview of statistical methods for ensuring system quality and reliability. It discusses best practices for improving the quality of manufacturing products by using proper statistical methods. 

Section I: Statistical Quality Control Methods in Systems Assurance.  1. Stein EWMA Control Charts for Count Processes.  2. Time-varying ARMA Models for Residual Control Charts.  3. The Unconditional Performance of Control Charts for Zero-Inflated Processes with Estimated Parameters.  4. A Comparative Study of Self-starting CUSUM Control Charts for Location Shifts.  Section II: Statistical Methods in Healthcare Systems Assurance.  5. Capturing Responder Effects in Randomized Clinical Trials with a Mixture Model.  6. Polygenic risk scores and applications in clinical practice.  7. Improving Healthcare Services using Machine Learning Techniques.  8. Health Budgets using Data Analytical Techniques.  Section III: Statistical Methods in Sports and Industrial Systems Assurance.  9. Statistics and Machine Learning in Industry: Combining Heterogeneous or Multi-Scale Model Outputs.  10. The Value of Data Exploitation in Sports Industry: An Overview.  11. A New Approach to Basketball Game Predictions by Simulating Games Based on the Predicted Numbers and Types of Plays.  Section IV: Miscellaneous Applications of Statistical Methods in Systems Assurance.  12. New Exponential Dispersion Models for Count Data - a Review and Applications.  13. Data Transformations and Transfer Functions: An Application to Water and Soil Pollution.  

Fazlollahtabar, Hamed

Production Systems & Automation

Sustainable Engineering & Manufacturing

Due to disruptions occurring within production processes as a result of different circumstances, it is necessary to provide a new and safe production system that can pass any crisis such as a pandemic. New sustainable automated production systems need to be proposed and adopted by industrial managers and this book fulfills that need.

1. Sustainability in Production. 2. Automated Production Systems. 3. Sustainability and Automation. 4. Automation in Industry 4.0. 5. Industrial IoT and Sustainability. 6. Sustainable Production in Pandemics. 7. Industrial IoT in Pandemics. 8. Sustainability Evaluation in Pandemics. 9. IoT-Based Sustainable Production Value. 10. Optimization Models.

Professional (DRM-Free)

Ergonomics & Industrial Engineering

https://www.routledge.com/p/book/9781032509884

Quality Control & Reliability

The text covers both basic and advanced techniques based on state performance systems and binary systems. It presents a dynamic reliability analysis of safety-critical systems using Petri Nets and dynamic resource allocation modeling of software with patching.

1. Jump diffusion reliability modeling based on different scenarios for OSS multi up-gradation. 2. Models and methods of realization of optimal reliability of water supply system at condensing thermal power plant. 3. Semi Markov Analysis of Systems with Weibull Interface. 4. Reliability Assessment of a Multistate Degraded System. 5. Reliability Analysis models for multistate safety critical systems. 6. Improving the lifetime of mechanical systems during transit established on quantum/transport life-stress prototype and sample size. 7. Topology Optimization of Binary-State Network with use of Cumulative Updating of Network Reliability Bounds. 8. Quantitative Analysis of Reliability and Cost Factors in Pulse Radar Systems. 9. Reliability Analysis of Multiple Cylinder System with MADM Techniques in Diesel Engine, Employed in 3 out of 5 Subsystems. 10. Reliability and Sensitivity Analysis of a Network Structure. 11. Generic Model and Reliability Measures of Multi-State System Analysis with a case study from industry. 12. Reliability-Centered Maintenance (RCM) for Multistate Systems.

Quality Control & Reliability

This book emphasizes the importance of customer service in various industries, highlighting its role in profitability. It presents numerous examples to remind leaders of the detrimental impact of neglecting customer service and the need for proactive measures.

1. General Customer Service Overview Comments. 2. Characteristics of Customer Service. 3. Statistics Relating Customer Service and Satisfaction. 4. Service Strategies. 5. Economic Utility and Its Relationship to Customer Service. 6. The Role of Management in Customer Service. 7. Problem-Solving Methodology. 8. Eight Disciplines (8D). 9. Common Methodologies for Customer Service. 10. Selected Useful Methodologies That Can Help Improve Customer Service and Voice of the Customer. 11. Available Software for Customer Service.

Quality Control & Reliability

This book emphasizes the importance of customer service in various industries, highlighting its role in profitability. It presents numerous examples to remind leaders of the detrimental impact of neglecting customer service and the need for proactive measures.

1. General Customer Service Overview Comments. 2. Characteristics of Customer Service. 3. Statistics Relating Customer Service and Satisfaction. 4. Service Strategies. 5. Economic Utility and Its Relationship to Customer Service. 6. The Role of Management in Customer Service. 7. Problem-Solving Methodology. 8. Eight Disciplines (8D). 9. Common Methodologies for Customer Service. 10. Selected Useful Methodologies That Can Help Improve Customer Service and Voice of the Customer. 11. Available Software for Customer Service.

Li, Weibing | Li, Yehui | Huang, Kai | Pan, Yongping

Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems.

Section I Time-Varying Constrained Optimization  1. Preliminary Theory  2. TVCO Solvers  Section II Optimal Control of Serial Robots  3. Predefined-Time Convergent Solution to Repetitive Motion Planning  4. Strictly Predefined-Time Convergent Solution to Repetitive Motion Planning  5. Acceleration-Level Solution to Obstacle Avoidance  6. Position-Level Solution to Obstacle Avoidance  7. maxQ-Function-Based Solution to Pose Control  8. Lower-Dimension NCP-EDNN for Pose Control  9. Infinity-Norm Velocity Minimization  10. Vision-Based Control with Safety Constraints  Section III Optimal Control of Parallel Robots  11. Evtushenko-Purtov Function Based Solution  12. Unification and Comparison of NCP functions Based Solutions

Zheng, Huarong | Liu, Chenguang

The book presents the latest overview, methodologies, design practices, and applications of unmanned surface vehicles (USVs).

1 Overview of Unmanned Surface Vehicles  I Advanced Navigation, Guidance, and Control: Methods Towards Autonomy  2 USV Navigation Methods and A Real-time Object Recognition System with 3D LiDAR  3 USV Guidance Methods and COLREGs-compliant Path Planning  4 USV Control Methods and Robust Control Handling Maritime Disturbances  5 Learning-based Control of USVs  II Practices in the Field  6 USV Systematic Architecture  7 Field Tests of USVs: Safe Navigation in the Lock Waterway  8 Field Tests of USVs: Ship Turning Maneuver Tests  III Applications over the Water  9 Waterborne Applications of USVs  10 Summary and future perspectives

Quality Control & Reliability

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications.

1. AI and Machine Learning in Modern Healthcare. 2. Revolutionizing Gender-Specific Healthcare: Harnessing Deep Learning for Transformative Solutions. 3. From Data to Diagnosis: AI's Role in Gender-Responsive Care. 4. Technology-Driven Approaches to Gender Inclusive Healthcare. 5. Unlocking Gender-Based Health Insights with Predictive Analytics. 6. Machine Learning's Precision in Tailoring Healthcare Solutions. 7. Real-World Success Stories How Technology Transforms Gender Healthcare. 8. Patient-Centric Technology Empowerment. 9. Exploring Cutting-Edge Technologies Shaping Gender Health. 10. Safeguarding Data and Ensuring Security in Digital Healthcare. 11. AI and ML Fundamentals: A Primer for Healthcare Professionals. 12. Early Ethical Considerations and Societal Impacts on Gender Health. 13. Examination of AI's role in Diagnosis, Treatment, and Patient care. 14. Future Trends and Ethical Challenges in Transforming Gender Health Care Using AI and ML.