Advanced Computational Techniques for Sustainable Computing

Advanced Computational Techniques for Sustainable Computing

Sinha, Adwitiya; Rathi, Megha

Taylor & Francis Ltd

10/2024

322

Mole

9780367495282

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Preface. Editors. Contributors. 1 Sustainable Computing-An Overview. 2 Ambient Air Quality Analysis and Prediction Using Air Quality Index and Machine Learning Models-The Case Study of Delhi. 3 Assessing Land Cover and Drought Prediction for Sustainable Agriculture. 4 Electronic Health Record for Sustainable eHealth. 5 Team Member Selection in Global Software Development-A Blockchain-Oriented Approach. 6 Machine Learning in Sustainable Healthcare. 7 Multimedia Audio Signal Analysis for Sustainable Education. 8 Smart Health Analytics for Sustainable Energy Monitoring Using IoT Data Analytics. 9 Customer Analytics for Purchasing Behavior Prediction. 10 Discernment of Malaria-Infected Cells in the Blood Streak Images Using Advanced Learning Techniques. 11 Handwritten Text Recognition with IoT Devices. 12 Circadian Rhythm and Lifestyle Diseases. 13 Deep Learning for Automated Disease Detection. 14 Time Series Analysis and Trend Exploration of Stock Market. 15 Medical Search Engine. 16 Assessing Impact of Global Terrorism Using Time Series Analysis. 17 Sustainable Statistics for Death Cognizance Analysis. 18 Modeling the Immune Response of B-Cell Receptor Using Petri Net for Tuberculosis. 19 Crop Prediction and the Sustainability of Farming. 20 Personalized Heart Disease Framework for Health Sustainability. 21 Sports Analytics for Classifying Player Actions in Basketball Games. Index.
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IoT Data Analytics;Random Forest;Deep Learning Model;Ml Model;UCI Machine Learn Repository;HSV Color Space;Cyber Physical Systems;UCI Repository;Vice Versa;IoT Data;IoT Analytic;Hybrid PN;NFAT Pathway;PN;Audio Feature Extraction;RMSE Score;Exponential Smoothing;Ambient Assisted Living;RGB Scale;AUC Score;CT Scan Image;Sustainable Healthcare;NDVI Index;Reachability Graph;Coronary Illness