COVID-19 Emergence in Computing Science

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COVID-19 Emergence in Computing Science - A Quiz

Organized by Department of Computer Science Engineering (CSE) and Department of Information Technology (IT) at Bharat Institute of Engineering and Technology (BIET), Ibrahimpatnam, Hyderabad, Telangana

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1. The e-Mask app developed by Taiwan is used for *

1 point

Checking each registered pharmacy's mask stock

Checking each hospital for doctor's availability

Checking each NGO for COVID-19 patients

None of the above

2. Singapore is using a high-tech surveillance app for *

1 point

Tracking the corona virus

keeping schools open

keeping the business open

All of the above

3. Paper Robot by Illinois, USA is used for *

1 point

Automatically reads research papers

Uses data analytics tools

Doctors and scientists to identify important information

All of the above

4. What are social networking models *

1 point

Predict stochastic methods

Predict COVID-19 spread

Predict the end of pandemic

None of the above

5. Johns Hopkins University’s has assembled one of the simplest ways to track the virus worldwide. Which one of the following holds true. *

1 point

Aggregates data from 17 sources, including WHO

Aggregates data from European Centre for Disease Prevention and Control

The site tallies the total cases by country or hotspot

All of the above

6. What is robotics avatar for hands-free medical care *

1 point

Treat patients remotely during a pandemic

Treat patients physically during a pandemic

Treat patients normally during a pandemic

Treat patients in clinic during a pandemic

7. Reddit's coronavirus community became a destination as it provides getting the best information up top *

1 point

True

False

8. What is a TfidfVectorizer? *

1 point

The number of times a word appears in a document

Words that occur many times a document

Both Option A and Option B are correct

Both Option A and Option B are wrong

9. Identify the correct phrases about deep learning *

1 point

The MNIST dataset contains 60,000 training images of handwritten digits from zero to nine and 10,000 images for testing.

The mnist.load_data() method returns us the training data, its labels and also the testing data and its labels.

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

All of the above

10. What is the ration of percentage detection (without mask and with mask) with the following application "COVID-19: Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning" *

1 point

20.22 : 20.22

90:87 : 99.23

99.87 : 98.23

20.87 : 99.99

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