table_of_contents_short

Communications Engineering, Networks

Cyber-Physical Systems

Chapter 1. 5G/5G-Advanced, Wi-Fi 6/7, and Bluetooth 5/6 Introduction.- Chapter 2. Data Communication Systems Protocol Stacks.- Chapter 3. The Wireless Path.- Chapter 4. Digital Modulation: The Basic Principles.- Chapter 5. Channel Coding and Link Adaptation.- Chapter 6. Channel Usage Techniques.- Chapter 7. Multiple Antenna Techniques.- Chapter 8. 5G/5G-Advanced Overview.- Chapter 9. Wi-Fi 6/6E and Wi-Fi 7 Overview.- Chapter 10. Bluetooth 5/6 Overview.- Chapter 72. Menstruation Effect on Well-being: Exploring the Mediating Role of Physical Pain and Psychological Anguish.

This second edition of this book provides, at a high level and in a tractable fashion, a description of how wireless communications are achieved in the latest smartphones. The author shows how smartphones communicate via three separate systems, namely 5G/5G-Advanced, Wi-Fi 6/7, and Bluetooth 5/6. The book explores how 5G/5G-Advanced allows mobile voice and high-speed data communication, how Wi-Fi 6/7 allows smartphone attachment to the Internet independent of 5G/5G-Advanced, and how Bluetooth 5/6 allows smartphone attachment to speakers, in-car entertainment systems, smart watches, etc. This text explains the key basic technologies employed and addresses how each system operates. In addition, a cursory overview is provided of smartphone GPS navigation and iPhone satellite messaging. This book is of interest to anyone with a rudimentary scientific understanding who desires to know more at an intuitive level, rather than at a rigorous one, how smartphones achieve wireless communications.

Communications Engineering, Networks

Computer Communication Networks

Introduction.- Introduction of 6G Non-Terrestrial Networking.- Network Architecture of 6G Non-Terrestrial Networks.- Physical Layer Optimization of 6G Non-Terrestrial Networks.- Access Management of 6G Non-Terrestrial Networks.- Routing and Transmission of 6G Non-Terrestrial Networks.- Resource Management of 6G Non-Terrestrial Networks.- Simulation and Evaluation of 6G Non-Terrestrial Networks.- Conclusion.

This book provides a comprehensive overview and deep technical insights into 6G NTNs, with a particular emphasis on network architecture, resource management, and performance evaluation. Topics covered include hierarchical MEO-LEO mobility management, UAV-assisted LEO backbone construction for data collection, cybertwin-assisted access mode selection, service function chain-based quality of service (QoS) guaranteed resource orchestration, deep reinforcement-based RAN slicing, satellite-aircraft handover, and high-capacity multicast beamforming. Additionally, the book introduces simulation platform named UltraStar and QUIC-based streaming frameworks to facilitate performance testing and design validation. The content is systematically organized into network architecture, physical-layer optimization, access management, routing and transmission, resource management, and simulation, aiming to provide readers with a holistic perspective on the emerging field of ultra-dense LEO-based NTNs for 6G. While primarily targeted at academic researchers and industry practitioners in satellite and wireless communication, the book is also suitable for graduate students seeking to explore the forefront of 6G network innovation.

Communications Engineering, Networks

Preface.- Chapter 1: Introduction.- Chapter 2: Fundamentals of Acoustic Positioning.- Chapter 3: System Architecture and Signal Processing.- Chapter 4 Doppler Effect and Compensation in Acoustic Positioning Systems.- Chapter 5 Environmental Effects and Compensation Strategies in Acoustic Positioning.- Chapter 6 Hybrid Systems and Sensor Fusion.- Chapter 7 Implementation and Experimental Validation.- Chapter 8 Applications and Future Directions.

This book offers a comprehensive exploration of indoor acoustic positioning systems designed for environments where GPS is ineffective. It thoroughly examines the design and implementation of sound-based positioning systems (SPS), focusing on methods such as Time of Arrival (ToA), Angle of Arrival (AoA), and Time Difference of Arrival (TDoA) to achieve accurate 3D localization. The book addresses challenges including Doppler shifts from moving robots, signal reflections (multipath) due to obstacles, and environmental factors like wind and temperature variations that affect acoustic signal propagation. By providing detailed analysis and practical mitigation strategies, it equips readers with solutions to enhance SPS accuracy and reliability. Special features include illustrative diagrams, comprehensive tables, and an appendix containing key function code for building a ToA-based acoustic positioning system—facilitating hands-on learning and implementation. This resource will be invaluable to robotics engineers, indoor navigation system developers, and researchers in autonomous systems who seek to design and deploy reliable indoor positioning solutions in GPS-denied environments.

Communications Engineering, Networks

Natural Language Processing (NLP)

Introduction.- Part I: Foundations of the Age of AI.- The AI Renaissance: From Algorithms to Leaders.- Human Minds vs Machine Minds.- When Machines Think: The Rise of Artificial Cognitive Powers.- Leadership Redefined: What It Means in the Age of AI.- Part II: Ethics, Responsibility, and Global Governance.- AI Ethics: Humanity’s Moral Compass in a Machine World.- The Governance Dilemma: Regulating AI Without Killing Innovation.- Ethical AI in Practice: Learning from Real World Scenarios.- Part III: The Human Edge: Creativity, Emotion, and Empathy.- Can AI Feel? Why Emotions Still Matter.- AI in Leadership Roles: Opportunities and Risks.- The Irreplaceable Human Touch.- Part IV: Coexistence and Collaboration.- AI as Partner, Not Master.- Humans Shaping AI: Designing for Better Tomorrows.- Bridging Knowledge: From Human to Machine and Back.- Part V: The Road Ahead.- AI Leadership and Society: Jobs, Governance and Culture.- Who Will Lead the Future? A Shared Destiny.- Conclusion.

This book explores whether humans should continue leading or allow AI, with its growing capabilities, to take prominent leadership roles. The author addresses the practical and ethical dimensions, vital for understanding AI's role in our future society. The book provides a thoughtful analysis of leadership roles in the age of AI and insights into AI’s societal impacts, ethical challenges, and how humans and AI can responsibly coexist and co-lead. The book uniquely integrates firsthand global policy-making experience, notably contributing to UNESCO’s widely adopted AI ethics framework. The author emphasizes practical implementation, ethical considerations, and offers balanced insights for diverse readers.

Communications Engineering, Networks

Biomedical Engineering and Bioengineering

Introduction.- Introduction to Haptic Technology and Healthcare.- The Intersection of AI and Haptics.- Foundations of AI in Haptic Healthcare.- Evolution of Haptic Devices.- Basics of Artificial Intelligence in Healthcare.- The Significance of Feedback Mechanisms.- Surgical Interventions and Training.- Robotic-Assisted Surgery.- Virtual Reality Surgical Simulations.- Prosthetics, Rehabilitation, and Patient Experience.- AI-Enhanced Smart Prosthetics.- Personalized Rehabilitation Programs with Haptic Feedback.- Remote Healthcare and Ethical Challenges.- Telemedicine and Remote Haptic Healthcare Innovations.- Merging AI and Haptic Technologies: New Frontiers.- Predictive Models and Future Healthcare Scenarios.- Charting the Road Ahead.- Conclusion.

The book presents opportunities in the healthcare industry that become possible when artificial intelligence (AI) and haptic technologies are combined. The book bridges the gap between innovation and human stories, with the author unveiling the ways AI and haptic technology are making healthcare more precise, empathetic, and human-centric. The book delves deep into how AI amplifies the capabilities of haptic technology, paving the way for unprecedented advancements in healthcare. This convergence promises enhanced tactile feedback, making medical procedures more accurate and patient experiences more intuitive. From robotic-assisted surgeries to advanced prosthetics that can simulate touch, the book provides concrete examples and case studies. These narratives highlight the transformative power of integrating AI with tactile technology in real-world healthcare scenarios. Beyond just technological advancements, the book also addresses the ethical dilemmas posed by such innovations and provides a forward-looking perspective on the future of haptic healthcare, anticipating challenges and opportunities on the horizon. The book is relevant to engineers, medical professionals, tech enthusiasts, and students and academics.

Communications Engineering, Networks

Biomedical Engineering and Bioengineering

Introduction.- An Introduction to Lung Cancer.- Types, Diagnosis and Treatment of Oral Cancer.- Artificial Intelligence and Its Role in Early Detection of Lung Cancer.- Current Research Treads for Early Screening of Lung Cancer using AI.- Conclusion.

This book introduces the concept of using AI for the purpose of lung cancer early detection. The book explores how advanced computer algorithms can analyze medical images, transcriptomic/epigenetic profiles, and relevant patient data to enhance early detection and accurate diagnosis of lung cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of lung cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in oral cells and tissue, enabling the detection of abnormal cells and precancerous transcriptomic or epigenetic changes that may indicate the presence of oral cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for lung cancer screening, including the automated image processing and analysis of incisional or excisional biopsy-based cytology images.

Communications Engineering, Networks

Biomedical Engineering and Bioengineering

Introduction.- An Introduction to Oral Cancer.- Types, Diagnosis and Treatment of Oral Cancer.- Artificial Intelligence and Its Role in Early Detection of Oral Cancer.- Various Stages of Detection and Diagnosis of Oral Cancer using AI.- Current Research Treads for Early Screening of Oral Cancer using AI.- Conclusion.

This book analyzes using artificial intelligence (AI) for the purpose of oral cancer early detection. The book explores how advanced computer algorithms can analyze medical images, transcriptomic/epigenetic profiles, and relevant patient data to enhance early detection and accurate diagnosis of oral cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of oral cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of AI and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can “see” patterns in oral cells and tissue, enabling the detection of abnormal cells and precancerous transcriptomic or epigenetic changes that may indicate the presence of oral cancer. This book intended for professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.

Communications Engineering, Networks

Introduction to Artificial Intelligence enabled Integrated Terrestrial and Non-terrestrial networks.- The Role of the Non-terrestrial networks in improving rural connectivity.- Artificial Intelligence enabled Antenna Design Consideration for Integrated Terrestrial and Non-terrestrial networks.- Chapter 4: Artificial Enabled Energy-Efficiency Maximization for Integrated Terrestrial and Non-terrestrial networks.- Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite Networks.- Green UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster Management.- Machine Learning for Predictive Network Management.-  Regulatory and Policy Considerations for TN-NTN Integration.-  Road Ahead for Artificial Intelligent enabled Terrestrial and Non-terrestrial networks.

This book delves into the transformative role of Artificial Intelligence in the seamless integration of Terrestrial and Non-Terrestrial Networks, offering a comprehensive exploration of cutting-edge wireless and satellite communication technologies. As the 3rd Generation Partnership Project Release 17 propels 5G services beyond terrestrial limits, this volume addresses the critical challenges and opportunities presented by Non-Terrestrial Networks (NTN), including satellite mobility, dynamic spectrum access, and AI-driven solutions for enhanced connectivity. Readers will uncover a wealth of insights into AI-enabled advancements that are reshaping the landscape of integrated networks. The chapters cover pivotal topics such as AI-driven antenna design, energy efficiency maximization, and machine learning for predictive network management. Expert contributors provide in-depth analyses of NTN-specific issues like Doppler shifts and latency optimization, while also exploring regulatory considerations essential for successful TN-NTN coexistence. This book invites readers to engage with critical questions about the future of communication networks and the indispensable role of AI in overcoming complex technical challenges.  

Communications Engineering, Networks

Introduction.- Artificial Intelligence in Pharmaceutical Sciences.- AI in Early Drug Discovery.- AI for Preclinical and Translational Research.- Machine Learning in Clinical Trial Design and Optimization.- AI in Drug Repurposing and Personalized Medicine.- Regulatory, Ethical, and Data Challenges.- Future Trends and Innovations in AI-driven Drug Development.- Conclusion.

This book provides a comprehensive exploration of how artificial intelligence (AI) is transforming every stage of drug discovery and development—from the initial identification of drug targets to clinical trials and regulatory approval. The book delves into how AI is used to screen chemical compounds, predict toxicity, personalize treatment plans, and even discover new uses for existing drugs. Each chapter presents real-world case studies, current research trends, and the challenges of integrating AI into traditional drug pipelines, including data quality, ethical concerns, and regulatory hurdles. Written for researchers, students, healthcare professionals, and industry leaders, this book combines cutting-edge scientific insights with practical applications.

Communications Engineering, Networks

Introduction.- Genomics in the Age of Artificial Intelligence.- Data Foundations: Sequencing, Multi-Omics, and Data Quality.- Classical Machine Learning Methods in Genomics.- Deep Learning Architectures for Genomic Sequences and Structures.- Graph Neural Networks and Biological Networks.- Self-Supervised and Foundation Models in Genomic Research.- Integrative Multi-Omics Modeling and Data Fusion.- Interpretability, Explainability, and Causality in Genomic AI.- Federated Learning and Privacy-Preserving Genomics.- AI for Clinical Genomics: Diagnostics and Prognostics.- AI-Driven Drug Discovery and Pharmacogenomics.- Population Genomics and Public Health Applications.- Ethical, Legal, and Societal Implications in Genomic AI.- Future Perspectives: Generative Models, Digital Twins, and Personalized Medicine.- Conclusion.

This book provides a comprehensive and accessible exploration of how Artificial Intelligence (AI) is transforming the field of Genomics and personalized medicine. The book brings together the latest methods, tools, and real-world applications that enable scientists and clinicians to interpret complex genetic data, discover disease-causing patterns, and design precision therapies. Covering topics from deep learning and multi-omics integration to ethical and regulatory considerations, the book bridges the gap between computational innovation and clinical translation. Designed for researchers, students, healthcare professionals, and biotech innovators, this book offers clear explanations, illustrative case studies, and forward-looking insights into how AI is shaping the future of medicine and human health.

Communications Engineering, Networks

Introduction.- Part I Foundations of AI: Concepts and Frameworks for Cybersecurity and Digital Forensics.- The Evolution of Artificial Intelligence and Machine Learning.- Technical Foundations of Cybersecurity.- Digital Forensics: Tools, Techniques, and Methodologies.- Integrating AI/ML with Cybersecurity and Digital Forensics.- Part II AI in Action: Real-World Strategies for Cybersecurity and Digital Forensics.- AI and ML Frontier Technologies for Digital Forensic Applications.- Enhancing Cyber Security with Machine Learning.- Future of AI-Driven Digital Forensic.- Conclusion.

This book provides a comprehensive exploration of how Artificial Intelligence (AI) is being applied in the fields of cyber security and digital forensics. The book delves into the cutting-edge techniques that are reshaping the way we protect and investigate digital information. From identifying cyber threats in real-time to uncovering hidden evidence in complex digital cases, this book offers practical insights and real-world examples. Whether you’re a professional in the field or simply interested in understanding how AI is revolutionizing digital security, this book will guide you through the latest advancements and their implications for the future.   Includes application of AI in solving real cyber security and digital forensics challenges, offering tangible examples; Shows how AI methods from machine / deep learning to NLP can be used for cyber defenses and in forensic investigations; Explores emerging trends and future possibilities, helping readers stay ahead of the curve in a rapidly evolving field.

Communications Engineering, Networks

Cyber-Physical Systems

Introduction.- Web of Things.- WoT.- Cybersecurity.- Cybersecurity Threats.- Cyberattacks.- WoT Privacy.- WoT Authentication.- Blockchain.- Internet of Things.- Web.- Zero-Trust.- Conclusion.

“Blockchain-based Web of Things Security: Advances, Challenges, and Solutions” offers a concise yet comprehensive exploration of how blockchain technologies can enhance the security and trustworthiness of the Web of Things (WoT). It bridges theoretical foundations with applied research to guide academics, engineers, and decision-makers in deploying decentralized security solutions for interconnected environments. Starting with the evolution from IoT to WoT, the book outlines the interoperability and security challenges of integrating billions of devices into the web. It then introduces blockchain as a key enabler of trust, transparency, and resilience, covering its cryptographic principles, consensus models, and smart contract capabilities. The chapters delve into blockchain-based frameworks for WoT security, including decentralized identity management, secure key revocation, and distributed SSO systems. Sector-specific use cases such as intelligent transport and industrial automation demonstrate how blockchain mitigates vulnerabilities and ensures data integrity. The book also explores the synergy between blockchain and emerging technologies like edge computing, AI, and digital twins, with a focus on real-time anomaly detection and threat mitigation. Practical insights, architectural templates, and regulatory perspectives round out this volume, making it a valuable reference for building secure, scalable, and interoperable WoT ecosystems. Chapters featured include: From the Internet of Things to the Web of Things by Saad El Jaouhari  Introduction to Blockchain Technology by Nour El Madhoun Blockchain-Based Approaches for Securing The Web of Things (WoT) by Saad El Jaouhari A Smart Contract-based Blockchain Solution for Key Revocation in IoT/WoT Environments by Sami Bettayeb, Mohamed-Lamine Messai, Soane Mounine Hemam, Belal Alsinglawi Security of Intelligent Transport Systems using Blockchain by Lamia Hamza, Aida Yachi, and Ines Tigrine A Blockchain Solution for Reliable and Secure Distributed SSO Applications by Oliver Bell and Hisham Al-Assam Building Trust in the Web of Things: Decentralized Identity Management with Blockchain by Souhail Mssassi and Anas Abou El Kalam

Communications Engineering, Networks

Computer Engineering and Networks

Graduate/advanced undergraduate textbook

Introduction.- Introduction to wireless communications and networks.- RF concepts in cellular communication.- Spectrum and RF characteristics of cellular systems.- MIMO and cellular antennas.- Introduction to multicarrier transmission.- Radio access network architecture.- 3GPP based air interface: Layer 1.- 3GPP based air interface: Layer 2.- 3GPP based air interface: Layer 3.- Performance and analysis of cellular systems.- Carrier aggregation and unlicensed bands.- Cellular Network Planning and Design.- Conclusion.

This textbook goes to the heart of telecommunications engineering by developing the underlying concepts and linking them to how system specifications are determined by standards bodies – and how systems are designed and implemented by equipment manufacturers. In this regard, the book is comprehensive in covering all important aspects of wireless networks. Tailored to undergraduate/graduate students and practicing engineers, this book presents the fundamental concepts in a concise manner, while retaining the rigor needed to truly understand wireless communications. Importantly, the book ties these developments to how these concepts are implemented in fielded systems, discussing the motivations behind the design choices made in 4G and 5G wireless communications. The book bridges the gap between theory and application, presenting key practical issues. Presents RF concepts, RAN protocols, and radio planning and optimization; Bridges the gap between theoretical and application-driven textbooks on cellular radio access networks; Includes a full suite of classroom materials including PowerPoint slides, a solutions manual, and tutorials.

Communications Engineering, Networks

Computational Intelligence

Introduction.- Artificial Intelligence in Connected Vehicles.- A Hybrid Model Integrating Local and Global Spatial Correlation for Connected Vehicles Traffic Prediction.- Sdscnn: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network For Connected Vehicles Traffic Prediction.- Spatial-Temporal Complex Graph Convolution Network for Connected Vehicles Traffic Prediction.- Prior Knowledge Enhanced Time-Varying Graph Convolution Network for Connected Vehicles Traffic Prediction.- Spatial-Temporal Heterogeneous and Synchronous Graph Convolution Network For Connected Vehicles Traffic Prediction.- Multi-Sequential Temporal Convolution Gated Graph Neural Network For Connected Vehicles Traffic Prediction.- Connected Vehicles Traffic Prediction Based On Multi-Temporal Graph Convolutional Networks.- Urban Road Network Connected Vehicles Traffic Speed Prediction Model Based On Global Spatio-Temporal Characteristics.- Future Challenges Of Connected Vehicles Traffic Prediction.- Conclusion.

This book delves into the problems and challenges faced in achieving improved performance in connected vehicles traffic flow prediction in intelligent connected transportation systems and provides an in-depth analysis of spatial-temporal feature extraction, global local spatial feature extraction, and fusion of external factors. The book is divided into ten chapters, and the introductory section presents the history of the development of artificial intelligence and graph neural networks in the context of connected vehicles, related work on prediction of connected traffic, and preliminary knowledge. Chapter 2 to 9 present eight prediction methods in the context of connected traffic, respectively. Each section includes an introduction to the problem definition, model architecture, experimental setup, and discussion of results, as well as references. The last section summarizes the contributions of the book and future challenges.

Communications Engineering, Networks

Introduction.- Freeway Traffic Modelling.- Safe Distributed Set-Based Planning in Autonomous Vehicles.- The role of human motion models in learning-based social navigation systems.- Autonomous Vehicle Platoons in Urban Road Networks.- Delay Injection Attacks against Haptic Shared Control Steering Systems.- Application of Deep Reinforcement Learning for Traffic Control of Road Intersection with Autonomous Vehicles.- A Feedback-Linearized Model Predictive Control Strategy for Constrained Wheeled Mobile Robots.- A resilient distributed architecture for UAV leader-follower formations.- Automation and Robotics in Healthcare: Transforming Hospital Material Handling.- Multi-Vehicle Localization by Distributed Moving Horizon Estimation over Sensor Networks.- Conclusion.

This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting. Addresses use of constrained control and machine learning within data-driven settings; Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems; Shows how combined constrained control and ML techniques can create efficient hybrid control architectures.

Communications Engineering, Networks

Data Mining and Knowledge Discovery

Introduction.- Advancements in the Application of Stochastic Systems in Environmental Sciences.- Aggregate production planning in a reverse logistics context considering random demand and service level.- Day of the Dead Before and After the Covid -19 Pandemic in Mixquic, Mexico City.- Machine learning and deep learning-based models applied in fundamental electrochemical devices.- Bilevel Approach for Discovering Latent Variables in Bayesian Networks.- Design a novel algorithm for Fault Detection, Diagnosis, and Monitoring based on a Dedicated Observer Scheme and Multi-Objective Optimization of Bioethanol Production.- Risks in the Supply Chain of the Persian Lemon: Mexican Case.- Conclusion.

This book presents innovative techniques in data analysis and related branches for solving problems in different areas of science. The authors present multiple techniques in data science and its applications, such as multi-objective optimization, statistical analysis, statistical process, and design of experiments for industry, artificial intelligence and machine learning, big data analytics, and stochastic processes. The methodologies used in the case studies allow practitioners to replicate and adapt the proposed models and techniques to new areas of analysis. At the same time, the book allows students from different areas to see how the implementation of data analysis can help understand phenomena in the real world and how, through a structured methodology, it is possible to derive conclusions to different problems that arise in many areas of science.

Communications Engineering, Networks

Introduction.- Anomaly Detection in Smart Manufacturing Using an Intelligent Decision Support System with Applications in Supply Chain Management.- Lung and colon cancer detection system in histopathological images based on deep transfer Learning.- Design of an application to support the diagnosis of skin cancer using deep learning.- Enhancing Vascular Structure from Computed Tomography Angiography Images using Score-based Generative Models.- Remote medical assistance y wearable devices in health applications.- Product Demand Forecasting in the Industry 4.0 through machine learning and Intelligent Decision Support Systems.- Application of the Sugeno-Takagi-Kang considering fuzzy logic for demand forecasting in the supply chain: a Fuzzy temporary series forecast model (FTS) proposal.- Optimizing a Smart City’s Urban Park Lighting using Monkey Algorithm.- Intelligent System for Multimedia Data Analysis in Industry 4.0 using a Smart color management approach.- Technologies for Vehicle Classification in Intelligent Traffic Systems: Advances, Challenges, and Perspectives.- Conclusion.

This book explores the latest progress in intelligent systems designed to assist decision-making, revealing how advanced computers contribute to informed judgments. The authors show how these intelligent systems utilize cutting-edge technologies such as artificial intelligence, machine learning, and deep learning to comprehend and interpret data. The book illustrates successful applications of these systems to improve decision support in various industries, including business, finance, and healthcare. Essentially, the book focuses on the evolving role of technology in improving decision-making. The book offers a diverse collection of articles written by experts in the field, presenting a wide range of perspectives and approaches to intelligent systems for decision support. Readers can benefit from insights into various applications, methodologies, and success stories, providing a comprehensive understanding of the topic.

Communications Engineering, Networks

Cyber-Physical Systems

Introduction to Edge Intelligence.- Edge Intelligence via Model Training.- Edge Intelligence via Federated Meta-Learning.- Resource-efficient Edge AI via Personalized Federated Learning.- Edge-Cloud Collaborative Learning via Distributionally Robust Optimization.- Hierarchical Mobile-Edge-Cloud Model Training with Hybrid Parallelism.- Communication-Efficient Hierarchical Federated Edge Learning.- Edge Intelligence via Model Inference.- On-Demand Accelerating Deep Neural Network Inference via Edge Computing.- Cooperative Edge DNN Inference with Adaptive Workload Partitioning.- Online Optimization and Resource Provisioning for Edge DNN  Inference.- Applications, Marketplaces, and Future Directions of Edge Intelligence.

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edge. The book then provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. This second edition incorporates the latest research in this rapidly developing area. The authors also highlight the current applications and future research opportunities for edge intelligence.  

Communications Engineering, Networks

Graduate/advanced undergraduate textbook

Introduction.- Fundamentals.- Video Analytics.- Model Training.- Model Deployment.- End-Edge-Cloud Orchestration.- Platforms for Edge Video Analytics.- Conclusion.

The significance of video analytics is becoming increasingly substantial. Edge video analytics has emerged as a vital component in addressing the challenges posed by the exponential growth of video data. Processing data closer to its source enhances efficiency and opens new opportunities for applications across various sectors. This textbook presents a comprehensive overview of the techniques and methodologies shaping the future of video analytics. Key concepts are explored systematically, transitioning from foundational principles to advanced strategies. Topics include the integration of artificial intelligence and machine learning in edge analytics, model training and deployment, as well as orchestration across edge-cloud environments. Each section offers insights backed by research and real-world examples. This book's practical approach makes it a valuable resource for both industrial engineers and academic researchers. It provides essential knowledge that applies to real-world situations, whether in security surveillance, transportation, or healthcare. The presentation is clear and engaging, making complex theories easier to understand and accessible to readers at different levels of expertise. This book is highly recommended to anyone interested in exploring the intersection of edge computing and video analytics. Not only does it deepen your understanding of the field, but it also encourages further research and exploration.

Communications Engineering, Networks

Computer Communication Networks

Undergraduate textbook

Introduction.- Fourier Series.- Fourier Transforms.- Amplitude Modulation.- Angle Modulation.- Digital Modulation Techniques.- Conclusion.

This unique textbook – made up of classroom slides and relevant context from the authors’ course at NYU – provides a clear, step-by-step journey from the fundamentals of signal analysis to the sophisticated modulation and detection strategies that power today’s communication systems. Beginning with intuitive treatments of Fourier Series, Fourier Transforms, and Nyquist’s Sampling Theorem, the book builds the mathematical intuition students need to move confidently into analog and digital modulation techniques—covering AM (DSB, SSB, VSB), FM, PM, and their behavior in noisy environments. The narrative then turns to modern digital topics such as sampling, quantization, coding, and probabilistic detection for binary and multi-signaling schemes, showing how error probabilities can be driven arbitrarily low with thoughtful waveform design. Rich in worked examples and practical insights, the text equips undergraduates with both the theoretical grounding and hands on perspective required to understand, analyze, and design real world communication links. The book is designed for a semester undergraduate course in Fundamentals of Communication Theory, and the slides are intended to be used and are available digitally.

Including MATLAB, Mathcad and Python Simulations with Desktop Video Lectures

Communications Engineering, Networks

Coding and Information Theory

Undergraduate textbook

Introduction.- Brief History of Error-Control Codes.- Information Theory.- Shannon’s Channel Coding Theorem.- Turbo Codes.- Turbo Encoder.- Turbo Decoder.- LDPC Codes.- Iterative Log-likelihood LDPC decoding algorithm.- WiMAX LDPC Codes.- Polar Codes.- Polar Encoder.- Conclusion.

This textbook provides a comprehensive introduction to the fundamentals of Polar, LDPC and Turbo Codes. These codes have become essential cornerstones of advanced communication systems, including, for example, the 5G standard. By simplifying the often-intimidating mathematics behind these codes, this textbook offers clear step-by-step explanations reinforced by simulations that validate and bring the theory to life. Accompanying this textbook are desktop video lectures that explain the theoretical concepts and provide step-by-step walkthroughs of the simulation codes. These videos create a guided learning experience with the author as your personal instructor. Written for undergraduate students, this book equips learners with the tools and understanding needed to explore and apply some of the most powerful error-control codes in modern technology. Whether for academic coursework or self-study, it is your gateway to mastering the critical algorithms driving today’s digital communication.

Communications Engineering, Networks

Computational Intelligence

Introduction.- Advances in Networking SoCs.- Open Networking.- Distributed Services Switching.- Network visibility, observability, and automation.- Software-Defined and Programmable Networks.- Security First Networks.- Self-Healing Networks (Cognitive Networks).- AI-Native Networks.- Deployments.- Conclusion.

This book provides a comprehensive discussion about the trends in network transformation towards intelligent networks and what the future holds for communication infrastructure. The author unveils the interplay of technologies and technological know-how that are shaping the industry. Delving into the evolution of networking infrastructures from static to dynamic and intelligent, this book explores how these advancements are enhancing user experiences, driving digital transformation in businesses, and revolutionizing the way the world connects. Covering trends in networking technologies, advances in SOCs, cloud networking, automation, network insights (telemetry and observability), container networking, network security, and AI infrastructure, readers will gain valuable insights into the cutting-edge technologies shaping the landscape of communication infrastructure. Whether you're a seasoned industry professional or a newcomer to the field, this book offers an invaluable resource for understanding the latest advancements and future directions in networking technology.

Communications Engineering, Networks

Computer Communication Networks

Graduate/advanced undergraduate textbook

Introduction.- I Basics of Communications and Sensing.- Communications: Basics.- Basics of Radar System.- II Waveform Design and Processing.- Time-Frequency Waveform Design.- Spatial Waveform Design.- Wideband ISAC.- III Performance Trade.- Information Theoretic Trade-off.- Trade-off in Electromagnetic Field.- IV ISAC Networking and Computing.- Communications for Computing.- Communications for Statistical Inference.- Collaborative Computing in ISAC.- Scheduling in ISAC Networks.- Interference Management in ISAC.- V Implementations and Applications.- Security in ISAC.- Positioning and Navigation Using ISAC.- Unmanned Aerial Vehicles: Detection and Imaging.- Conclusion.

This textbook covers the integration of wireless communications and radar sensing (ISAC), tackling some of the major technologies in 6G wireless networks. The book provides a comprehensive introduction to communications and radar, complete with the most updated and significant research topics. The author then introduces four aspects of ISAC: (a) the introduction to communications and sensing; (b) system design of ISAC; (c) networking of ISAC; (d) applications. The book features an in-depth tutorial for the areas of communications and radar and a comprehensive survey for ISAC. The author covers results intensive research and successful application in communities of wireless communications, radar, remote sensing, and computer engineering. The book can be used to shape the current research paradigm and cause impact on the standard of 6G systems.

Communications Engineering, Networks

Aerospace Technology and Astronautics

Graduate/advanced undergraduate textbook

Introduction to Integrated Terrestrial and Non-terrestrial networks.- The Role of the Non-terrestrial networks in improving rural connectivity.- Antenna Design Consideration for Integrated Terrestrial and Non-terrestrial.- Energy-Efficiency Maximization for Integrated Terrestrial and Non-terrestrial.- Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite.- Green UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster.- Road Ahead for Terrestrial and Non-terrestrial networks.

This book aims to address a wide range of topics in wireless/satellite communications to tackle the issues related to the integration of terrestrial networks (TN) with non-terrestrial networks (NTN). In Release 17, the third-generation partnership project (3GPP) proposed the standardization of NTN to allow 5G-based TN to support NTN. According to Release 17, the NTN will consist of satellites, with unmanned aerial vehicles (UAVs) and high-altitude platforms (HAPs) regarded as specific use cases of NTN. Similar to the Global Positioning System (GPS), signals based on NTN are unable to provide indoor coverage, as these signals are attenuated and scattered by roofs, walls, etc. Moreover, power and delay are critical factors that restrict a cellular-enabled mobile handset from achieving reliability, seamless coverage, and low latency while relying on NTN. This book has brought together multidisciplinary contributors in the field of wireless/satellite communications to identify and present technical challenges and recent results related to the design of energy-efficient, delay-tolerant, and enhanced coverage-based integrated TN and NTN. Given that challenges and future aspects are also considered, the book covers a wide variety of subject categories and would therefore benefit a larger readership in the scientific community.

Communications Engineering, Networks

Computer Communication Networks

Introduction.- Overview of End-Edge-Cloud Networks.- Communication and Computation Integration Network Architecture.- Multi-Dimensional Resource Adaption for Hierarchical Federated Learning.- Deterministic Transmission Scheduling for Time-Sensitive Federated Learning.- End-Edge-Cloud Orchestration for Collaborative DNN Inference.- Discussion of Future Directions.- Conclusion.

This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications.

Communications Engineering, Networks

Transportation Technology and Traffic Engineering

Introduction.- Vehicular Social Networks.- Learning-based Vehicle Behaviors Prediction in VSNs.- Social-mobility-aware Communication Resource Management.- Social-aware Caching Resource Management in VSNs.- Joint Communication and Computation Resource Management in VSNs.- Social-enabled Physical Layer Secure Transmission.- Future Research Directions.- Conclusion.

This book explores integrating behavior prediction with artificial intelligence-driven resource management to provide a transformative framework for optimizing vehicular social networks (VSNs). The book starts by providing an overview of the key issues encountered in VSNs, including the dynamic and unpredictable nature of vehicular mobility, varying communication demands, and the need for efficient resource allocation. A significant portion of the book is dedicated to exploring behavior prediction models for vehicles in VSNs. By analyzing the past movements, interactions, and social behaviors of vehicles, this book presents various prediction algorithms to anticipate future positions, communication patterns, and resource requirements. With behavior prediction as a foundation, the book delves into the design and implementation of intelligent resource management systems for VSNs. It demonstrates how predictive capabilities empower these systems to allocate communication, computing and caching resources dynamically. The book extensively evaluates the proposed intelligent resource management approach through extensive simulations and practical experiments. The results showcase the effectiveness of the system, highlighting significant improvements in network performance compared to traditional resource allocation methods. These findings validate the potential of behavior prediction and intelligent resource management in revolutionizing VSNs. Finally, this book provides conclusions and promising directions, hoping to stimulate future research outcomes in the field of vehicular networks from different perspectives. The book serves as an invaluable resource for researchers, engineers, and industry professionals interested in advancing the field of vehicular networks and harnessing behavior prediction to create efficient, safe, and intelligent VSNs.

Communications Engineering, Networks

Cyber-Physical Systems

Introduction.- Section I — Introduction to Intelligent Transformative Technologies.- Overview of AI, Big Data, and Networking Technologies.- Section II — AI Architectures and Intelligent Systems for Industry Transformation.- AI-Driven Decision-Making in Business and Industry.- Architectures for Intelligent Systems and Data Management.- Section III — Big Data Analytics and Real-Time Insights.- Foundations and Applications of Big Data Analytics.- Big Data Architectures in Industrial Systems.- Section IV — Edge Computing and Intelligent IoT Networks.- The Synergy Between Edge Computing and AI.- Real-Time AI in Edge Computing and 6G Networks.- Section V — Blockchain and AI Integration for Enhanced Security.- Blockchain Fundamentals and AI Use Cases.- AI-Driven Fraud Detection and Trust Systems.- Section VI — AI Applications in Healthcare and Personalized Medicine.- AI in Predictive Diagnostics and Patient Care.- Big Data and AI for Healthcare Systems.- Section VII — 6G Networks and Smart Cities: The Role of AI.- 6G Networks for AI-Driven Smart Cities.- AI and IoT Integration in Smart Cities.- Section VIII — Ethical and Societal Implications of AI, Big Data, and Networking.- Addressing Data Privacy.- Societal Impact and Regulatory Frameworks.- Section IX — AI-Enabled and Autonomous Systems.- AI-Driven Systems in Industry 4.0.- Autonomous Vehicles and AI in Transportation.- Section X — Emerging Topics and Underexplored Areas.- AI in Environmental Monitoring and Sustainability.- Section XI - The Future of Intelligent Transformative Technologies.- Emerging Trends and Research Directions.- Conclusion.

The book delves into how edge AI, combined with technologies like 6G, is transforming industries by enabling decentralized decision-making and faster responses to data-intensive tasks. The book discusses how AI-driven cybersecurity tools are being developed to detect, mitigate, and prevent cyberattacks, ensuring that systems remain resilient in the face of evolving threats. The book also addresses the ethical implications of AI and big data, particularly as these technologies become more pervasive. Issues such as data privacy and the societal impacts of automation are explored in detail. Finally, the book covers the advancements in AI-enabled and autonomous systems, which are playing an increasingly vital role in sectors such as manufacturing, healthcare, and transportation. By covering the latest innovations, the book enables researchers, students, and professionals to explore emerging technologies and apply them to solve complex problems across industries. Discusses the integration of intelligent technologies across industries, including AI, big data, and advanced networking; Presents challenges associated with the rapid deployment of these technologies, particularly in cybersecurity; Addresses ethical implications of AI and big data, particularly as these technologies become more pervasive.

Communications Engineering, Networks

Computer and Information Systems Applications

Part I. Technological advancements .- Chapter 1. A brief overview of Quantum Cryptography within the purview of Smart City.- Chapter 2. Blockchain for smart cities management and security: A Review.- Chapter 3. The role of Artificial Intelligence in Real-time driver drowsiness detection.- Chapter 4. Crop Diversification- A Climate Smart Practice.- Chapter 5. SUSTAINABLE FOOD SYSTEMS SHAPING THE SMART CITIES.- Chapter 6. Sustainable Smart Agriculture.- Chapter 7. Sustainable Smart Food Security.- Part II. Applications .- Chapter 8. Design of multi-hop Autonomous vehicles.- Chapter 9. NEURAL NETWORK LICENSE PLATES RECOGNITION SYSTEM BASED ON HISTOGRAM OF ORIENTED GRADIENT FEATURES.- Chapter 10. An exploratory evaluation of a patch antenna concept for underwater unmanned aerial vehicles.- Chapter 11. Development of an Acoustic Conduction Mechanism of a Metamaterial for Underwater Environment Applications.- Chapter 12. Communication Protocols for Internet of Medical Things (IoMT).

This book explores interdisciplinary technological advancements in smart cities. The book begins with a comprehensive study of smart cities, followed by their benefits and shortcomings. The authors show how, with the help of digital technology, cities are becoming more sustainable and efficient, leading to a better quality of life. The book includes a comprehensive review of literature, research works, and case studies, which are presented to demonstrate how various technologies can be integrated into smart cities. The book includes scenarios in smart agriculture, smart transportation, smart healthcare and more. This book also offers researchers, students, academicians, and professionals working in this field an extensive range of smart city applications.

Communications Engineering, Networks

Introduction.- From Internet of Things Data to Business Processes: Challenges and a Framework.- Behaviour-Centred Design of IoT Systems.- Enhancing Decision-Making.- Event-Log Granularity for IOT Process Mining.- Human-Centric Processes: Where IoT and People Meet.- Process Mining on Sensor Location Event Data.- Process Mining meets Robot.- The Internet of Production.- A Digital Twin Framework for Enhanced Manufacturing Capacity Using IoT Sensor Data.- Data representation and data quality for IoT-enhanced Business Processes.- Conclusion.

This book questions the extent to which the Internet of Things (IoT) and business process management (BPM) paradigms can be combined. The authors discuss emerging challenges and intersections from a research and practitioner's perspective in terms of complex software systems development and process mining methods. The authors demonstrate that while the IoT and BPM have been regarded as separate topics in research and in practice, they strongly believe that, on the one hand, the management of IoT applications will greatly benefit from BPM concepts, methods, and technologies. And on the other hand, the IoT poses challenges that will require enhancements and extensions of the current state of the art in the BPM field. Topics explored include behavior-centered design of IoT systems, event-log granularity for IoT process mining, process mining on sensor location event data, and process mining and robotics, among others. The book pertains to researchers, academics, and professionals working in the intersection of IoT and BPM.

Communications Engineering, Networks

Signal, Speech and Image Processing

Graduate/advanced undergraduate textbook

Introduction.- Probability.- Random Processes.- Information Theory.- Communication Signals, Systems and Noise.- Communication Waveforms.- Waveform Detection.- Introduction to Error Control.- Intersymbol Interference, Equalization and Partial Response Signaling.- Orthogonal Frequency Division Multiplexing.- Radio Propagation Channels.- Multiantenna Techniques.- Cellular Radio Systems.- Conclusion.

Introductory Digital Wireless Communications presents the fundamentals of modern digital communication systems and evaluates their performance using realistic channel models. The reader will gain a basic understanding of the physical layer of digital communication systems and be exposed to wireless channel modeling and cellular land mobile radio systems. The textbook provides all the necessary background material in probability, random processes, and signals and systems for the reader to be successfully introduced to the core principles in physical layer communications. It takes a mathematical modeling approach and provides detailed step-by-step derivations of key results, along with examples, to guide the reader in the subject matter. Problems are provided at the end of each chapter. The textbook is appropriate for a senior-level quarter or semester course in either digital communications or wireless communications. 

Communications Engineering, Networks

Computer Communication Networks

Graduate/advanced undergraduate textbook

Introduction.- Part I Information Theoretical Foundations.- Motivation of low-latency communication.- Theoretical Foundations a) Data compression: lossless and lossy.- Transmission of Arbitrary Source a) System model and coding scheme.- Multi-terminal compression a) Literature review.- Part II Wireless Communications Applications.- Degenerate MIMO: Lossy Multi-connectivity.- Conclusion.

This textbook covers topics on theoretical analyses of practical low-latency and ultra-reliable communication systems, which is the basis of 5G, B5G and 6G communication systems. The book provides a comprehensive summary of theoretical results for low-latency communication systems, with proofs of main results. Both the information theoretical fundamentals and wireless communications applications with fading are presented. The book is geared towards graduate/senior undergraduate students, helping them to better understand the theoretical foundations and analytical tools of practical communication systems and guide the engineers to find close to optimal solutions in practical communication projects. The book features a suite of pedagogical materials including examples after theorems and definitions, numerical examples to illustrate theoretical results, diagrams to introduce system models, and end of chapter homework problems.

Algorithms, Frameworks, and Applications for Sustainable Healthcare

Communications Engineering, Networks

Introduction.- Introduction to Human Activity Recognition, Fall Monitoring and Detection, Health monitoring.- Fundamental concepts.- Machine Learning in Human Activity Recognition using Smartphone Sensors.- Deep Learning in Human Activity Recognition using Smartphone Sensors.- Machine Learning in Fall Detection System.- Sensor Fusion based HAR for Disease Monitoring and Prediction.- Design, Development, Deployment Strategies.- Conclusion.

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions. Presents smart technologies for sustainable health monitoring and care targeted for the elderly; Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD); Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications.

Communications Engineering, Networks

Introduction.- Activation functions.- Machine learning (ML) in non-orthogonal multiple access (NOMA).- Resource allocation in NOMA.- Towards next-generation NOMA.- Application of ML in NOMA-based networks.- Conclusion.

This book equips readers with the conceptual and practical knowledge they need to put into practice the design, development, and management of the next generation multiple access / non-orthogonal multiple access (NGMA/NOMA)-based network systems. The authors outline and evaluate NOMA technologies by exploiting AI/ML-based methodologies. The authors also discuss the role of NOMA in designing NGMA, and the applications/use cases of the next-generation NOMA. The book provides guidance for researchers, engineers and scientists in academia and industry working in the fields of telecom and computing, and artificial intelligence/machine learning.

Analyzing the Consistency of Valuation Methods and Their Influencing Factors

Communications Engineering, Networks

Chapter 1 Introduction.- Chapter 2 Literature Review and Fundamentals.- Chapter 3 Experimental Setup and Comparison of Contextual Factors.- Chapter 4 Person-Related Privacy Influencing Factors.- Chapter 5 Person-Related General Influencing Factors.- Chapter 6 Empirical Investigation of the Economic Perspective of Privacy Taxonomy.- Chapter 7 Conclusion and Outlook.

This book explores the complex domain of personal data valuation, uncovering how individuals perceive the worth of their privacy in an era dominated by digital information exchange. The book delves into the largely scattered empirical research domain of how users value their own data, analyzing how companies like Google and Facebook rely heavily on the continuous collection of personal data to run their business models. By examining concepts like ‘Willingness to Pay’ and ‘Willingness to Accept’ in the context of privacy, the book offers a comprehensive overview of how people navigate the often-ambiguous trade-offs between sharing personal information and safeguarding their privacy. Through an empirical analysis supported by 14 crowdsourcing and two field experiments, the author investigates the influence of various factors—such as Privacy Concerns, Privacy Behavior, and Privacy Literacy—on the monetary assessment of privacy. The book also contrasts different methodological approaches to determine which yields the most reliable results, shedding light on the behavioral biases that can skew data valuation. This book is ideal for anyone interested in the intersection of privacy, economics, and digital ethics. The author not only offers insights into the current landscape but also proposes robust models for understanding and predicting how people value their privacy in different contexts. Whether you are a researcher, policymaker, or simply a concerned digital citizen, this book provides valuable perspectives on the monetization of personal data and the future of privacy in the digital age.

Communications Engineering, Networks

Computer Communication Networks

Introduction.- Part I: Foundations.- Introduction to Multimodal Knowledge Systems.- Traditional and Modern Approaches.- Part II: Core Methodologies.- Unified Multimodal Graph Learning.- Hierarchical Cross-Modal Representation.- Bias-Aware Data Augmentation.- Iterative Knowledge Refinement.- Part III: Applications and Beyond.- Real-World Applications.- Future Directions and Ethical Considerations.- Conclusion.

This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, and static reasoning paradigms. By introducing novel frameworks that unify graph-based learning, hierarchical representation, bias mitigation, and iterative refinement, this book provides systematic solutions to build robust, interpretable, and scalable AI systems. This book addresses gaps caused by incomplete textual semantics, spurious correlations across modalities, and inflexible reasoning pipelines by offering three pivotal contributions. First, the authors offer theoretical innovations in graph alignment techniques, hierarchical learning paradigms, and multi-agent reasoning frameworks. Then, the book goes on to offer practical tools including benchmark datasets, reproducible methodologies, and applications validated on state-of-the-art tasks. Finally, the book offers a broader impact through solutions tailored for low-resource settings, ethical considerations in AI deployment, and integration with emerging technologies like large foundation models. By bridging the divide between theoretical advancements and real-world applicability, the book serves as an essential resource for researchers and practitioners aiming to leverage multimodal data effectively, ethically, and at scale.

Communications Engineering, Networks

chapter 1 :  Artificial Neural Network Artificial Neural Network.- Chapter 2 :Rectangular Slot Loaded Microstrip Antenna for Broadband Response.- Chapter 3 :ANN Model of U-Shape and Modified U-Shape Microstrip Antennas for Broadband and CP Response.- Chapter 4 : ANN Model of Rectangular and U-shape Slots Cut CMSA for Broadband Response.- Chapter 5 :ANN Modelling of Compact Slot Cut MSAs for Broadband and CP Response.

This book explores various designs of wideband and circularly polarized slot-cut microstrip antennas realized using artificial neural network (ANN) modelling approach. The ANN modelling has been employed in variety of application in wireless domain. In this book, ANNs tools are used for design and predicting the antenna behaviour as well as tailoring designs as per specific frequency requirements. The book presents various designs employing regular shapes like, rectangular, circular and modified compact shapes like, semi-circular. The neural network approach used in this book achieves accurate antenna designs for wide frequency range and substrate parameters, based on the intended application, thus demonstrating the effectiveness of predictive modelling in developing the wideband and circularly polarized antennas.

Communications Engineering, Networks

Cyber-Physical Systems

Introduction to 5G, 6G and Beyond wireless communications.- Intelligent reflecting surface.- Unmanned aerial vehicle (UAV).- Visible light communication (VLC).- Low-complexity Massive MIMO Systems.

The book examines various performance analysis metrics related to next-generation wireless communication technologies and their potential use cases. It presents the material in straightforward language to facilitate easy comprehension and ensure that readers gain a deep understanding of the topics covered. Additionally, the book delves into the role of deep learning and machine learning in designing smart wireless systems. A wide array of subjects is explored, including technical advancements, potential applications, and practical use cases. The book highlights the possible impact of these technologies on various industries, such as healthcare, transportation, and education, and discusses real-world scenarios and case studies to provide practical insights into their implementation. With a future-oriented perspective, the book considers the potential of emerging wireless communication technologies, including 6G, and their anticipated influence on society and the economy. It offers readers an outlook on the latest developments and trends in wireless communication technologies, helping them stay ahead of the curve and prepare for what lies ahead. This volume serves as a valuable resource for researchers, engineers, students, and professionals in the field of wireless communication, as well as policymakers and regulators interested in the advancement of wireless technologies.

Communications Engineering, Networks

Microwaves, RF Engineering and Optical Communications

Graduate/advanced undergraduate textbook

Introduction.- Optical Networks.- Fibre-to-the -X.- Fibre-less Optical Networks.- Optical and Visible light Communications.- Free Space Optical Communications.- Indoor and vehicular optical wireless communication.- Wireless Multiple access Networks.- Multi-user diversity.- IEEE 802 Standards.- Integrated Optical/Wireless Access.- Conclusion.

This textbook comprehensively covers optical and wireless access networks, providing an understanding from basics to an advanced level. In addition to sharing insights into the topics of optical access communications, wireless multiple access communications, and optical and wireless convergence towards 6G networks, this book also discusses various key enabling technologies such as FSO, VLC (LiFi), power-over-fiber, etc. The readers can benefit with sufficient in-depth knowledge in designing both optical and wireless access networks for applications such as multiuser access, wireless backhaul, intelligent transportation systems, Internet of Things (IoT), etc. The book is ideal for undergraduate and graduate students in electronics and telecommunication engineering. The book features a suite of classroom materials including homework problems, an appendix for complicated derivations, project ideas, a solutions manual, and PPT slides and tutorial videos.

Communications Engineering, Networks

Automated Pattern Recognition

Introduction.- Introduction to Clustering.- Clustering Algorithms.- Nonsmooth Optimization Models in Cluster Analysis.- Nonsmooth Optimization.- Optimization based Clustering Algorithms.- Implementation and Numerical Results.- Conclusion.

This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.

Communications Engineering, Networks

1. Introduction to Quantum Computing.- 2. Introduction to Internet of Things.- 3. Applications of Quantum Computing for Internet of Things.- 4. Security and Privacy Management of IoT using Quantum Computing.- 5. Quantum Computing in IoT-based Military Applications.- 6. Quantum Computers based on Distributed Computing Systems for IoT.- 7. Quantum Machine Learning in Climate Change using IoT Devices.- 8. Quantum Simulation Tools: A Comprehensive Survey.- 9. Quantum Computing-based Secure Communication for IoT Environments.- 10. A Smart Healthcare System using IoT, Quantum Computing, and Blockchain Technology.- 11. A Novel Quantum Computing Optimization Technique for the IoT Environment.- 12. Improving Security in IoT using a Novel Quantum Key Distribution Algorithm.- 13. Research Challenges and Future Work Directions in Quantum Computing[1]based IoT Environment.

This book presents fundamentals of quantum computing and Internet of Things (IoT). It covers many applications of quantum computing in IoT environment which fulfill research gaps in the currently available literature. This edited work also discusses research challenges, new applications and future work directions in quantum computing-based IoT environments.

Communications Engineering, Networks

Microwaves, RF Engineering and Optical Communications

Graduate/advanced undergraduate textbook

Introduction.- Chapter 1. Antennas and Receiver Input Devices.- Chapter 2. Matching devices and filters.- Chapter 3. Radio Electronic Amplifiers.- Chapter 4. Coders and Modulators.- Chapter 5. Freqeuncy Converters And The Optimal Reception.- Chapter 6. Adjustments In Receivers. Frequency Synthesizers.- Chapter 7. Conclusion.

The book provides a deep analysis of the properties of individual cascades of RF receivers, their design implementation, optimization of characteristics to achieve the highest transfer coefficient and minimum introduced distortions. Particular attention is paid to the characteristics of the preselector, which determines the sensitivity of the receiver, selects the operating frequency band and suppresses spurious channels. Depending on the range of operating frequencies, the bandwidth of the received signal and the selected structural scheme of the receiver, the preselector can be tunable or with a fixed setting of selective devices. Its component part can be a low-noise amplifier, the AE mode of which is selected based on the condition of the minimum noise factor and achieving the greatest gain. The radio path of modern receivers of analog and digital signals and the type of the selected structural implementation always includes a frequency converter of the useful signal to the range of intermediate frequencies or modulation frequencies (Base Band). It is described how the use of orthogonal modulation methods in digital systems allowed to implement optimal signal reception, when the processing of received signals is performed by correlation methods, and the decision on the received information bit is made on the basis of the analysis of a group of symbols (by the method of sequential decoding). It is shown how this allowed to organize the transmission of information flows to a specific subscriber of the cell, which together with the use of MIMO technology increased the SNR at the receiver input. • Provides a comprehensive understanding of the structure of individual radio path cascades, methods of their optimization under the influence of various interferences and parasitic feedback in AE. • Allows students to not only to learn and to assimilate the applied theoretical issues, but to transfer to independent problem solutions. • Includes a full suite of classroom materials including exercises, Q&A, and examples.

Communications Engineering, Networks

Aerospace Technology and Astronautics

Reconfigurable Intelligent Surface for Unmanned Air Vehicle Communications: Emerging Technologies and Research Directions.- Securing Air-To-Ground Internet-of-Things with Artificially Intelligent Reconfigurable Surfaces.- Reflection Co-efficient Optimization for Sum-Rate Enhancement in RIS-assisted UAV Communications.- Physical Layer Security with RIS-assisted UAV Communication.- Secrecy Analysis of UAV assisted RIS-enhanced Uplink NOMA Systems.- Energy Efficient Resource Allocation in RIS Assisted UAV Communication.- Enhancing 6G Connectivity with Adaptive Deployment of Reconfigurable Intelligent Surfaces for Tethered and Untethered UAVs.- Rayleigh and Ricean schemes Analysis in Unmanned Aerial Vehicles.- Intelligent Security for UAV-Assisted RIS Networks.

This book thoroughly covers the prospective use cases, intelligent technologies, layered architectures for RIS-assisted UAV communications, research findings, experimental discoveries, and standardizations . The standard non-intelligent and intelligent approaches especially aimed for RIS-assisted UAV communications will be covered in this book. Additionally, researchers and academicians have lately become interested in improving beamforming/reflection for RIS-assisted UAV networks because of its capacity to boost communication coverage, quality, and privacy by dynamically reflecting the incoming signal. The ability to incorporate intelligence via machine learning techniques adopted in the RIS-assisted UAV communications satisfies the criteria for intelligent, environmentally friendly, and self-sustaining 6G cellular networks, making it a potential candidate to address the limitations of existing wireless technologies. Students and professionals alike will find the issues discussed in this book to be interesting. Security, a massive, ultra-reliable, and low-latency communication systems, reinforcement learning and/or deep learning methods for further intelligent and trained strategies, RIS’s beamforming and order of power scaling, as well as a number of other relevant issues of readers’ concern are described in detail.

Communications Engineering, Networks

Microwaves, RF Engineering and Optical Communications

Graduate/advanced undergraduate textbook

Introduction.- Satellite orbits and constellation design.- Satellite system architecture and types of satellites.- Air interface and Physical layer.- Medium access layer.- Networking layer.- Integrated satellite-terrestrial networks.- Cybersecurity.- Conclusion.

This textbook provides fundamental theory and application of satellite communications and networks in a format suitable for university students and professionals working in the field. The book first outlines the types of satellites and their uses, then goes on to cover satellite orbits and constellation design; satellite system architecture; air interface and physical layer; and integrated satellite-terrestrial networks. A thorough discussion on 5G and 6G non-terrestrial networking (NTN) is included. The book shows how and why satellites are playing a key role in supporting critical infrastructures of society, such as energy and telecommunication networks and different forms of traffic on roads, sea and in the air. The book also discusses threats to satellites and how cybersecurity plays a role. The book features end-of-chapter questions and exercises, homework problems including mathematical exercises and practice questions, PowerPoint slides, and a solution manual. The book is ideal for upper undergraduate and graduate students in telecommunications curriculum.

Communications Engineering, Networks

Automotive Engineering

Vehicular Ad Hoc Networks and Its Security Issues.- Secure Vehicular Crowdsensing and Malicious Vehicles Detection in VANETs.- Efficient and Privacy-Preserving Authentication in VANETs.- Traffic Data Quality Improvement and Secure Outsourcing Computing in VANETs.- Traffic Data Access Control in VANETs.- Accurate Policy Enforcement for Secure Data Dissemination in VANETs.- Conclusions.

This book focuses on the fields of security of vehicular ad hoc networks (VANETs). Building upon previous research findings, it conducts research on three modules: secure data sensing, computing, and dissemination in VANETs. The book adopts a combination of security analysis, theoretical analysis, and simulation analysis to comprehensively evaluate and demonstrate the effectiveness and performance of proposed solutions. It aims to assist other researchers in conducting studies on the data security issues of vehicular ad hoc networks, while designing secure and efficient schemes.

Secure Fusion Estimation and Control for Cyber-Physical Systems Under Malicious Attacks

Communications Engineering, Networks

Cyber-Physical Systems

Introduction.- Secure dimensionality reduction fusion estimation against eavesdroppers in cpss.- Distributed privacy preserving fusion estimation using homomorphic encryption.- fdi attack detection using fusion estimation methods.- Secure infinity fusion estimation against dual channel fdi attacks based on intermediate variable.-Distributed fusion estimation for nonlinear cpss under attacked control signals.- Networked nonlinear fusion estimation under dos attacks.- Active secure control against dos attacks using predictive control approach.- Security control against time delay attacks using switched system approach.- Adaptive output regulation for cpss under time delay attacks.- Attack resilient control against fdi attacks using sliding mode control.

The book focuses on the issues of secure fusion estimation and control in cyber-physical systems under cyber-attacks, such as privacy protection under eavesdropping attacks, security fusion estimation under DoS and FDI attacks, and model-based and model-free security control under cyber-attacks. The comprehensive and systematic treatment of security protection in cyber-physical systems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions for the security of cyber-physical systems. The book can benefit researchers, engineers and graduate students in the fields of control science and engineering, computer science, communication engineering, etc.

Communications Engineering, Networks

Cyber-Physical Systems

Introduction.- Digital Supply Chain.- Cybersecurity.- Cyber Resilience.- Cyber Physical Systems.- Cyberattacks.- Privacy.- Authentication.- Blockchain.- Countermeasures.- Internet of Things.- Industrial IoT.- Zero-Trust.- Conclusion.

This book offers a comprehensive roadmap for securing modern digital supply chains by weaving together foundational theory, organizational strategy, and advanced technologies. Beginning with a rigorous taxonomy of attack vectors and end‑to‑end security frameworks, it then introduces the Blueprint concept for Critical Infrastructure Protection, detailing reference architectures, reusable TOSCA‑based templates, and their deployment in cloud‑enabled operational technologies with integrated SBOM and DevSecOps pipelines. Building on this, the book examines the human and institutional dimensions of supply‑chain security through a systematic review of European higher‑education initiatives, regulatory compliance requirements, and industry–academia collaborations, and presents the SECURE framework’s six strategic pillars—risk management, educational innovation, compliance integration, emerging technologies, partnerships, and workforce development—illustrated via a hypothetical case study. Finally, it showcases cutting‑edge sectoral applications, from prioritizing cybersecurity measures in aerospace, agriculture, automotive, and pharmaceutical value chains using multi‑criteria decision‑making and Digital Twins, to leveraging AI and machine‑learning models for real‑time anomaly detection and predictive analytics, and deploying blockchain‑based traceability solutions that employ smart contracts and QR‑code verification to enhance transparency and trust. Written by leading academics and practitioners, this book bridges theory and practice to empower researchers, infrastructure operators, and policymakers with the insights and tools needed to build resilient, transparent, and secure digital supply‑chain ecosystems Chapters include : On the Security of Digital Supply Chain by Badis Hammi and Sherali Zeadally Enhancing Digital Supply Chain Security Through Critical Infrastructure Protection Blueprints by Djibrilla Amadou Kountche, Meisam Gordan, Mona Soroudi, Daniel McCrum, Efstathios Zavvos, Lorcan Connolly, Sandra König, Stefan Schauer, Jose Carlos Carrasco, Jocelyn Aubert, Nicola Gregorio Durante, Manh-Dung Nguyen, Marisa Escalante Martinez, Zisis Palaskas and Páraic Caroll Supply Chain Security of Critical Infrastructure Protection Software Blueprints by Djibrilla Amadou Kountche, Meisam Gordan, Mona Soroudi, Daniel McCrum, Efstathios Zavvos, Lorcan Connolly, Sandra König, Stefan Schauer, Jose Carlos Carrasco, Jocelyn Aubert, Nicola Gregorio Durante, Manh-Dung Nguyen, Marisa Escalante Martinez, Zisis Palaskas and Páraic Caroll The Role of Higher Education in Addressing Cybersecurity Challenges in EU Digital Supply Chains by Asegul Hulus The SECURE Framework: A Strategic Response to Digital Supply Chain Cybersecurity Challenges by Asegul Hulus Optimal Cybersecurity Measures in Airbus’s Industrial Value Chain (Aerospace) by Ayat-Allah Bouramdane Artificial Intelligence and Machine Learning for Supply Chain Security by Kamran Razzaq and Saman Ikram Abbasi Artificial Intelligence and Machine Learning by Yulliwas Ameur FARMILY: A Blockchain-Based Solution for Food Supply Chain Transparency by Benjamin Omayebu and Hisham Al Assam

Communications Engineering, Networks

Computer Communication Networks

Graduate/advanced undergraduate textbook

Introduction.- Part I From Conventional Communications to Semantic Communications.- Development of Wireless Communications.- Introduction of Semantic Communications.- Key Components in Semantic Communications.- Part II Joint Coding for Semantic Communications.- Joint Source and Channel Coding.- Joint Semantic Channel Coding.- Channel Adaptive Semantic Communications.- Bandwidth Adaptive Semantic Communications.- Joint Semantic-Channel Coding with Privacy Preservation.- Task-Oriented Semantic Communications.- Part III Compatibility with Conventional Communication Systems.- Semantic-Aware Source Coding.- Waveform Optimization for Semantic Communications in OFDM System.- Semantic Communications with Multi-Antenna System.- Part IV Applications of Semantic Communications.- Applications of Semantic Communications.- Conclusion.

This textbook provides a comprehensive, step-by-step guide to Semantic Communications, focusing on how deep learning enhances its performance in modern communication systems. The purpose of the book is to offer students, researchers, and engineers a solid understanding of the theoretical principles and practical applications of semantic communication. The text builds from foundational concepts to advanced topics, making it suitable for graduate-level courses and beyond, while also serving as a reference for professionals looking to incorporate semantic communication into real-world systems. By moving beyond conventional data transmission to focus on meaning and intent, this textbook highlights how AI and deep learning are revolutionizing joint source-channel coding, bandwidth optimization, and task-oriented communications. With a strong emphasis on 6G and next-generation networks, this book offers a comprehensive guide to the theoretical foundations and practical applications of semantic communication, making it an essential resource for researchers, students, and professionals shaping the future of AI-driven telecommunications. The book features discussion questions, MATLAB or Python code for experiments and simulations related to semantic communication systems, PowerPoint slides for instructors, and a solutions manual. Combines theoretical principles with practical implementations of semantic communication systems; Addresses the foundational concepts and the hands-on application of deep learning to improve communication efficiency; Features discussion questions, MATLAB code for experiments, PowerPoint slides for instructors, and a solutions manual.

Communications Engineering, Networks

Introduction.- Smart Transportation and Autonomous Driving Technology.- Wireless Communication and Urban Signal Base Stations.- Artificial Intelligence & Internet of Things.- Cybersecurity threats in IoT-enabled cities.- Smart Cities and Digital Twins.- AI applications for predictive maintenance and city planning.- Role of Blockchain in Smart City Infrastructure.- Smart City Solutions for Disaster Management.- Environmental Monitoring and Management in Smart Cities.- Smart Buildings and IoT Integration.- Conclusion.

This book presents key technologies and applications of smart cities, covering a wide range of areas including smart transportation, autonomous driving, wireless communication, artificial intelligence, the Internet of Things (IoT), cybersecurity, digital twins, disaster management, environmental monitoring, and smart buildings. The authors include the latest developments and future trends in the evolution of smart cities. Each chapter represents a distinct field of study but is interconnected, collectively forming the technological framework of smart cities. The authors cover topics from how the IoT underpins smart transportation systems and autonomous driving technology, to the role of wireless communication in urban signal stations; from the applications of the fusion of AI and the Internet of Things (AIoT) in smart cities, to strategies for addressing cybersecurity threats. The book analyzes how all of these technologies drive cities towards greater efficiency, safety, and environmental sustainability. This book is suitable for professionals in smart cities, urban planning, information technology, environmental protection, and other related fields.

Intelligent Forecasting and Control for Sustainable Electric Mobility

Communications Engineering, Networks

Energy Grids and Networks

Integration of Electric Vehicle Charging Stations into Microgrid with Solar Generation.- Analysis of the Impact of Meteorological Factors on Solar Energy Generation in the Microgrid.- Models for Forecasting Solar Generation in the Microgrid.- Predictive Models of Solar Generation in the Microgrid.- Algorithm for Charging Stations Controlling in a Microgrid with Solar Generation.- Modelling and Implementation of Intelligent Charging of Electric Vehicles in the Microgrid with Solar Generation.

The integration of microgrids with solar generation enhances energy efficiency, stability, and sustainability. Yet, managing such systems requires advanced forecasting and optimisation models. Microgrids that unite distributed sources, storage, and intelligent control enable efficient energy use even under grid constraints. Powering electric vehicle charging stations with solar energy supports eco-friendly and independent mobility. This book explores modern methods for modelling and controlling EV charging stations within solar-powered microgrids. It focuses on predictive models, load balancing, and optimisation algorithms that improve energy distribution and grid reliability. Special attention is given to intelligent control strategies, machine learning applications, and adaptive scheduling. The presented approaches advance sustainable energy development, enabling flexible, efficient, and environmentally friendly charging infrastructure for the electric transport of the future.

Communications Engineering, Networks

Chapter 1 Introduction to Spirituality and Artificial Intelligence.- Chapter 2 SPIRO: Cultivating Trust in Spiritual AI.- Chapter 3 Dimensions of Spiritual Intelligence.- Chapter 4 Spiritual AI: Scope of Study.- Chapter 5 Neurotransmitters: Foundations of cognition.- Chapter 6 The Measurable Mind: Quantifying spiritual wellness.- Chapter 7 Life Force Energy: Aura Visualization for Spiritual AI.- Chapter 8 Quantum Mysticism: Entanglement-like Phenomenon for Spiritual AI.- Chapter 9 The Synergy between Spirituality and AI: A Survey.- Chapter 10 The Next Frontier: Charting the potential of Spiritual AI.

This unique book delves into the convergence of artificial intelligence (AI) principles—rooted in scientific knowledge and technological advancements—with the concept of spiritual wellness, exploring their significance in our increasingly automated and digitized world. The author offers a synthesis of two domains often perceived as distinct, appealing to both technologists and spiritual thinkers. Beginning with an exploration of the definitions and scope of "spiritual AI," the book encourages the quantification of spiritual wellness, illustrated through examples from current literature. It sheds light on the evolution of the spiritual quotient, presenting it as an integration of intelligence quotient (IQ) and emotional quotient (EQ), enhanced by dimensions of spirituality. The discussion spans various application domains and delves into the mind's entanglement-like phenomena, raising critical questions: Can a machine truly attain consciousness? How do spiritual wellness and quantum mechanics intertwine? The author invites readers to ask their own questions, contemplate the boundless possibilities of spiritual AI, and challenge existing paradigms.

Communications Engineering, Networks

Computational Intelligence

Introduction.- Applied Solutions.- Automation and Robotics.- Blockchain.- Case studies, Benchmarking, and Surveys.- Data Science, Big Data, AI, ML, Digital Twins.- Environmental, Social and Governance (ESG) Frameworks.- Ethics, Security, and Privacy.- Gamification.- Infrastructures, IoT, Networks, Mobility, Ubiquity and Pervasive Systems.- Industrial symbiosis.- Innovative and sustainable Solutions, Frameworks or Approaches.- Intelligent and Decision Support Systems.- Life Cycle Assessment (LCA) solutions.- Mobility and Transportation.- Smart Tourism and Smart Cities.- Society and Industry 4.0.- Web/Mobile Solutions.- Conclusion.

This book converges innovation, sustainability, and industrial transformation, focusing on how these pillars can collectively shape more resilient and intelligent societies. Sustainable, Innovative, and Intelligent Industries and Societies brings together cutting-edge research, case studies, and applied solutions that address current challenges in energy, mobility, water management, smart materials, industrial symbiosis, and digital technologies. The book is structured into two major parts: it first presents smart and sustainable approaches within cities and societal systems, followed by advanced solutions in industry and product development. Each chapter provides unique and practical insights grounded in real-world scenarios and technological advancements, from digital twins for smart mobility to eco-innovation and sustainable fashion. This volume reflects a multidisciplinary collaboration between academia and industry, with each contribution reinforcing the importance of sustainable and intelligent practices across sectors. Whether theoretical in nature or highly applied, the chapters offer valuable insights for researchers, professionals, and decision-makers seeking to understand and implement future-oriented solutions. This edition continues the journey initiated in the previous volume, "Sustainable, Innovative, and Intelligent Societies and Cities," by broadening the perspective from smart societies to the intelligent, green, and digitally enhanced industries that will support them. Presents a multidisciplinary overview of cutting-edge technologies and best practices for sustainable industries and smart societies; Offers practical insights into energy, mobility, water management, advanced materials, and industrial symbiosis; Features real-world case studies and applied research bridging academia and industry; Supports professionals and researchers in designing more intelligent, efficient, and environmentally responsible systems.

Communications Engineering, Networks

Control, Robotics, Automation

Graduate/advanced undergraduate textbook

Introduction to Swarm Robotics.- Short Introduction to Robotics.- Short Journey Through Nearly Everything.- Scenarios of Swarm Robotics.- Modeling Swarm Systems and Formal Design Methods.- Collective Decision-Making.- Case Study: Adaptive Aggregation.- References.- Index.

This updated book provides an introduction to Swarm Robotics, which is the application of methods from swarm intelligence to robotics. The author presents methods that allow readers to understand how to design large-scale robot systems by going through many example scenarios on topics such as aggregation, coordinated motion (flocking), task allocation, self-assembly, collective construction, and environmental monitoring. The author explains the methodology behind building multiple, simple robots and how the complexity emerges from the multiple interactions between these robots such that they are able to solve difficult tasks. The book can be used as a short textbook for specialized courses or as an introduction to Swarm Robotics for graduate students, researchers, and professionals who want a concise introduction to the field. New topics to this edition include human-swarm interaction, energy efficiency in field swarm robotics, and water-surface-vehicle swarms, among other topics.

Synchronization and Time Distribution in Telecommunications

Communications Engineering, Networks

Computer Communication Networks

Graduate/advanced undergraduate textbook

Chapter 1. Introduction: Timing.- Chapter 2. Telecom Systems Timing.- Chapter 3. Timing metrics.- Chapter 4. Network Timing.- Chapter 5. Time Synchronization.

This updated textbook clarifies synchronization issues in telecommunications in an easy-to-follow way, focusing less on theory and more on practical aspects. The book is intended for a wide range of readers interested in the basic synchronization concepts in their wide application for development, maintenance, and conformity assessment of telecommunications equipment and networks. The authors show how, though synchronization in telecommunications has experienced rapid development, the foundational theory and the basic definitions, mathematical tools, and well-developed “classical” technologies have remained. The authors have studied the ITU-T, ETSI, IEEE standards, and extracted practical topics of synchronization. The collection of numerous training problems, practical examples, and case studies help the readers not only to find the answers to their current questions but also to get a common view of synchronization’s role in the modern telecommunications. The book is geared towards students of telecommunications but can also be useful for telecom engineers and for training/workshops for telecom engineers concerning synchronization topics. Presents updated synchronization issues in telecommunications, focusing less on theory and more on practical aspects; Now includes a focus on asynchronous (packet) transmission way as a basic transport resource of the modern telecom networks, specifically timing loop prevention in packet networks. In addition, the selective fast algorithms of timing metrics (MTIE/MATIE) calculation are presented; Includes a variety of updated examples and case studies to demonstrate the continuity of synchronization techniques; Features of suite of classroom materials including exercises, summary tests & questions, correct answers and solutions.

Communications Engineering, Networks

Digital Education and Educational Technology

Introduction.- Pandemic and Higher Education.- Myths Among Education Policy Makers Before Pandemic.- Technological Innovations in Education as Response to Pandemic.- Globalized Blended Education for Securing Synergies Among Far Flung Universities.- Lessons for the New Normal.- Lessons for Disaster Type Situations.- Conclusion.

This book presents the first practice-based account of Generative AI (GenAI) integration in postgraduate courses, structured across three approaches: course redesign and delivery, assessment redesign, and evaluation adaptations. The book introduces GenAI as a knowledge collaborator and reports the practical approaches, such as redesigning group activities into applied, research-driven tasks, providing detailed GenAI usage instructions, and requiring acknowledgement and reporting tools such as AI Contribution Forms, GenAI Integration Rubrics, and AI Contribution Assessment Forms, while adapting evaluation rubrics to ensure that the technology cannot act as a substitute for student work. Through guided experimentation in these areas, students were able to explore GenAI’s capabilities and limitations, reflect on appropriate and inappropriate use cases, and strengthen their digital literacy, reflective synthesis, and ethical awareness. A rigorous Monitoring & Evaluation (M&E) framework, built on a Theory of Change, pretested survey instruments, and detailed research protocols, was used to assess impacts on student knowledge, confidence, application, and awareness, both in the short term and the medium term. All instruments and procedures are included, making them directly reusable or adaptable by peers seeking to replicate or scale similar interventions in their courses. This book is a practical and methodological resource for educators and institutions, offering tested integration strategies, ready-to-use instruments, and a replicable evaluation framework to embed GenAI responsibly and effectively into academic practice while safeguarding academic integrity.

Communications Engineering, Networks

Transportation Technology and Traffic Engineering

Graduate/advanced undergraduate textbook

Introduction.- Introduction to railways.- Safety use cases and applications.- Non-safety use cases and applications.- Networks for railways.- Train-to-ground systems.- Physical layer in railway scenarios.- Future directions for railway communications.- Maintenance of communications systems in railways.- Conclusion.

This textbook provides a comprehensive treatment of railway communications systems and their ever-evolving interconnectivity, smart systems, and complex grids. The author first provides an introduction to railways and goes on to detail wayside networks, onboard networks, safety systems, and services that rely on these networks. In particular, the book covers application aspects, including network and physical layer, maintenance, and technologies that will shape the railway of the future. The book also covers rolling stock networks and systems and details the railway ecosystem that will help people new to the topic understand the core material. The book is oriented to educational purposes in classes such as Intelligent Transportation Systems or Communication Systems Architectures and also for practicing railway engineers. The textbook features supplementary material including homework problems, exercises and more.

Communications Engineering, Networks

Natural Language Processing (NLP)

Introduction.- Large Language Models and Wireless Networks.- Large Language Models in the Cloud.- Small Language Models at the Edge.- Network-aided Collaborative Language Models.- Language Model-aided Network Optimization.- Applications and Case Studies.- Future Directions and Emerging Trends.- Conclusion.

This book systematically examines the integration of language models with wireless networks from both architectural and algorithmic perspectives. It begins with the evolution of language models and wireless network requirements, followed by core concepts such as model scaling, training, inference, and the resource constraints shaping their deployment. Building on this foundation, the book investigates LLMs in cloud environments and SLMs for edge computing, focusing on compression, distillation, and efficiency under constrained conditions. The central part of the book is structured around two complementary directions. The first, network-aided collaborative language models, explores how cloud and edge language models can jointly support distributed inference through model partitioning, collaborative training, and adaptive coordination, considering synchronization and communication constraints in wireless networks. The second, language model-aided network optimization, focuses on using language models as decision-making agents to improve network performance, covering protocol optimization, expert routing, and cross-layer integration. These technical developments are grounded through detailed application scenarios and case studies, analyzing trade-offs between accuracy, latency, and resource consumption. The book concludes with forward-looking discussions on architecture, deployment strategies, and research challenges, serving as a comprehensive reference for researchers and practitioners at the intersection of wireless networks and artificial intelligence.

Communications Engineering, Networks

Microwaves, RF Engineering and Optical Communications

Theoretical Basis Of Ultraviolet Self Organizing Network.- Atmospheric Channel For Ultraviolet Communication.- Node Location Algorithm For Ultraviolet Communication Network.- Multiuser Detection Technology In Ultraviolet Ad Hoc Networks.- Mac Layer Protocol Fairness In Ultraviolet Self Organizing Networks.- Ultraviolet Wireless Optical Mesh Network Access Protocol.- Routing Protocol For Ultraviolet Self Organizing Networks Based On Node Location And Speed Information.- Routing Protocol For Ultraviolet Communication Network Based On Ant Colony Algorithm.- Ultraviolet Wireless Sensor Network.

This book covers the basic concepts of UV communication, the analysis of UV channel characteristics, the organize media access protocols, and routing protocols, etc. in the network. Based on the analysis of classical communication protocols, a basic framework for UV self-organising networks is proposed. The communication protocol proposed in the book is analyzed in detail, and the key procedures of computer simulation are given at the end of the book so that readers can learn and understand.This book can guide senior undergraduate and postgraduate students of communications, networking, and other related majors in colleges and universities. It can also be used as a reference book for researchers and engineering technicians.