
- 116 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
This book deals with a different research area of cognitive IoT and explains how machine learning algorithms can be applied for cognitive IoT. It deals with applications of cognitive IoT in this pandemic (COVID-19), applications for student performance evaluation, applications for human healthcare for chronic disease prediction, use of wearable sensors and review regarding their energy optimization and how cognitive IoT helps in farming through rainfall prediction and prediction of lake levels.
Features:
- Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from healthcare devices
- Explains different sensors available for health monitoring
- Explores application of cognitive IoT in COVID-19 analysis
- Discusses pertinent and efficient farming applications for sustaining agricultural growth
- Reviews smart educational aspects such as student response, performance, and behavior and instructor response, performance, and behavior
This book aims at researchers, professionals and graduate students in Computer Science and Engineering, Computer Applications and Electronics Engineering, and Wireless Communications and Networking.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Cognitive IoT by J P Patra,Gurudatta Verma in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface
- Acknowledgement
- Author’s Biography
- 1 Cognitive Internet of Things and Its Impact on Human Life
- 2 Cognitive Internet of Things: Smart Student Evaluation
- 3 Cognitive Internet of Things: Chronic Disease Prediction
- 4 Challenges in Internet of Things: Energy-Efficient Wearables
- 5 Cognitive Internet of Things: Rainfall Prediction for Effective Farming
- 6 Cognitive Internet of Things: Lake Level Prediction to Prevent Drought
- Appendix: MATLAB Implementation of Different Classifiers
- Index