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English
CRC Press
09 October 2024
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.
By:   , ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 216mm,  Width: 138mm, 
ISBN:   9781032315706
ISBN 10:   1032315709
Series:   Intelligent Signal Processing and Data Analysis
Pages:   116
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Forthcoming
CHAPTER-1 COGNITIVE IOT AND ITS IMPACT ON HUMAN LIFE Abstract 1.1 Introduction to Cognitive IoT 1.2 Internet of Things 1.3 AI and IoT 1.4 Cognitive IoT and Covid19 Pandemic 1.5 Global Applications of Cognitive IoT 1.6 Conclusion References CHAPTER-2 COGNITIVE IOT: SMART STUDENT EVALUATION Abstract 2.1 Education and IoT 2.2 Machine learning classifiers for Smart Education 2.3 Implementation using Matlab Tool 2.4 Summary References CHAPTER-3 COGNITIVE IOT: CHRONIC DISEASE PREDICTION Abstract 3.1 Chronic Disease and Human Health 3.2. Disease prediction and Machine Learning 3.3 Heart Disease Prediction using MatLab Tool 3.4 Summary References CHAPTER-4 CHALLENGES IN IOT: ENERGY EFFICIENT WEARABLES Abstract 4.1. Wearable IoT 4.2 Issues and Challenges in WBAN 4.3 Localization in WBAN 4.4. WBAN and Earlier Study 4.5. Applications 4.6. Limitations and Future Scope References CHAPTER-5 COGNITIVE IOT: RAINFALL PREDICTION FOR EFFECTIVE FARMING Abstract 5.1 Farming and Cognitive IoT 5.2 Machine Learning Model for Rainfall Prediction 5.3 Practical Approach (Matlab Tool Box) 5.4 Summary References CHAPTER-6 COGNITIVE IOT: LAKE LEVEL PREDICTION TO PREVENT DROUGHT Abstract 6.1 Data forecasting and Boundaries 6.2 Ensemble Prediction Model 6.3 Validation of Prediction Model 6.4 Summary References

Dr J P Patra is a Professor at Shri Shankaracharya Institute of Professional Management and Technology, Raipur, under Chhattisgarh Swami Vivekanand Technical University, Bhilai, India. He has more than 17 years of experience in research, teaching in the areas of Artificial Intelligence, Analysis and Design of Algorithms, Cryptography, and Network Security. He was acclaimed for being the author of books such as Analysis and Design of Algorithms and Performance Improvement of a Dynamic System Using Soft Computing Approaches, and has published more than 51 papers in SCOPUS, Web of Science, and UGC-CARE listed journals. He has published and granted Indian/Australian patents. He has contributed to book chapters, published by Elsevier, Springer, and IGI Global. He is associated with AICTE-IDEA LAB, IIT Bombay, and IIT Kharagpur as a coordinator. He is on the editorial board and reviewer board of four leading international journals. In addition, he is on the Technical Committee Board for several international conferences. He is having a Life Membership of professional bodies such as CSI, ISTE, and QCFI, and he has also served the post of Chairman of the Raipur Chapter for the Computer Society of India, which is India’s largest professional body for computer professionals. He has served in various positions in different engineering colleges as Associate Professor and Head. Currently, he is working with SSIPMT, Raipur, as Professor and Head of the Department of Computer Science and Engineering. Mr Gurudatta Verma is Assistant Professor at Shri Shankaracharya Institute of Professional Management and Technology, Raipur, under Chhattisgarh Swami Vivekanand Technical University, Bhilai, India. He has more than 12 years of experience in research, teaching in the areas of parallel processing and machine learning. He has published more than 15 papers in SCOPUS, Web of Science, and UGC-CARE listed journals. He has published and granted Indian/Australian patents. He has contributed to book chapters published by Elsevier, Springer, and IGI Global.

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