图书简介
Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts.The book offers a comprehensive coverage of some of the most essential topics:It provides an
1. Sustainable Computing—An Overview
Paras Chaudhary, Adwitiya Sinha, and Somya Jain
2 Ambient Air Quality Analysis and Prediction Using Air Quality Index and Machine Learning Models—The Case Study of Delhi
Megha Rathi, Muskan Garg, Japsehaj Singh Wahi, and Mayank Deepak Thar
3 Assessing Land Cover and Drought Prediction for Sustainable Agriculture
Anirban Dutta, Anushka Mittal, Shishir Khandelwal, and Adwitiya Sinha
4 Electronic Health Record for Sustainable eHealth
Prapti Miglani, Jagriti Bhandari, Ujjwal Alreja, and Adwitiya Sinha
5 Team Member Selection in Global Software Development—A Blockchain-Oriented Approach
Chetna Gupta and Megha Rathi
6 Machine Learning in Sustainable Healthcare
Dipanwita Thakur and Suparna Biswas
7 Multimedia Audio Signal Analysis for Sustainable Education
Megha Rathi, Aditya Lahiri, Ayushi Aggarwal, Parul Jindal, and Adwitiya Sinha
8 Smart Health Analytics for Sustainable Energy Monitoring Using IoT Data Analytics
Sherry Garg and Rajalakshmi Krishnamurthi
9 Customer Analytics for Purchasing Behavior Prediction
Mitushi Agarwal, Priyanka Parashar, Aradhya Mathur, and Adwitiya Sinha
10 Discernment of Malaria-Infected Cells in the Blood Streak Images Using Advanced Learning Techniques
Megha Rathi, Chandna Gupta, Rachit Shukla, and Raja Raubins
11 Handwritten Text Recognition with IoT Devices
Omkareshwar Tripathi, Mayank Tiwari, and Anish Gupta
12 Circadian Rhythm and Lifestyle Diseases
Sakshi Singh and Priyadarshini
13 Deep Learning for Automated Disease Detection
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