Description
Taylor and Francis Ltd Cognitive IoT 1st Edition 2022 Hardbound by Patra, J P
Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from health care devices Explains different sensors available for health monitoring Explores application of Cognitive IoT in Covid-19 analysis Discusses pertinent efficient farming applications for sustaining agricultural growth Review smart education aspects like student response, performance, and behaviour, Instructor response, performance, and behaviour 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