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 behaviorThis 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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This book contains different research area of Cognitive IoT and explains how Machine learning algorithms can be applied for Cognitive IoT with applications (Covid-19), student performance evaluation, human healthcare for chronic disease prediction, wearable sensors energy optimization, and in farming.
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CHAPTER-1 COGNITIVE IOT AND ITS IMPACT ON HUMAN LIFEAbstract1.1 Introduction to Cognitive IoT1.2 Internet of Things1.3 AI and IoT1.4 Cognitive IoT and Covid19 Pandemic1.5 Global Applications of Cognitive IoT1.6 ConclusionReferencesCHAPTER-2 COGNITIVE IOT: SMART STUDENT EVALUATIONAbstract2.1 Education and IoT2.2 Machine learning classifiers for Smart Education2.3 Implementation using Matlab Tool2.4 SummaryReferencesCHAPTER-3 COGNITIVE IOT: CHRONIC DISEASE PREDICTIONAbstract3.1 Chronic Disease and Human Health3.2. Disease prediction and Machine Learning3.3 Heart Disease Prediction using MatLab Tool3.4 SummaryReferencesCHAPTER-4 CHALLENGES IN IOT: ENERGY EFFICIENT WEARABLESAbstract4.1. Wearable IoT4.2 Issues and Challenges in WBAN4.3 Localization in WBAN4.4. WBAN and Earlier Study4.5. Applications4.6. Limitations and Future ScopeReferencesCHAPTER-5 COGNITIVE IOT: RAINFALL PREDICTION FOR EFFECTIVE FARMINGAbstract5.1 Farming and Cognitive IoT5.2 Machine Learning Model for Rainfall Prediction5.3 Practical Approach (Matlab Tool Box)5.4 SummaryReferencesCHAPTER-6 COGNITIVE IOT: LAKE LEVEL PREDICTION TO PREVENT DROUGHTAbstract6.1 Data forecasting and Boundaries6.2 Ensemble Prediction Model6.3 Validation of Prediction Model6.4 SummaryReferences
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Produktdetaljer

ISBN
9781032315560
Publisert
2022-08-19
Utgiver
Vendor
CRC Press
Vekt
453 gr
Høyde
216 mm
Bredde
138 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
116

Om bidragsyterne

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.