Textbook in PDF format

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 devicesExplains different sensors available for health monitoringExplores application of cognitive IoT in COVID-19 analysisDiscusses pertinent and efficient farming applications for sustaining agricultural growthReviews 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.
Preface
Acknowledgement
Author’s Biography
Cognitive Internet of Things and Its Impact on Human Life
Cognitive Internet of Things: Smart Student Evaluation
Cognitive Internet of Things: Chronic Disease Prediction
Challenges in Internet of Things: Energy-Efficient Wearables
Cognitive Internet of Things: Rainfall Prediction for Effective Farming
Cognitive Internet of Things: Lake Level Prediction to Prevent Drought
Appendix: MatLAB Implementation of Different Classifiers
Index