Advanced Computational Techniques for Sustainable Computing  book cover
1st Edition

Advanced Computational Techniques for Sustainable Computing

  • Available for pre-order. Item will ship after July 25, 2022
ISBN 9780367495220
July 25, 2022 Forthcoming by Chapman and Hall/CRC
338 Pages 201 B/W Illustrations

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USD $180.00

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Book Description

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 comprehensive coverage of the most essential topics, and:

  • Provides insight on building smart sustainable solutions
  • Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing
  • Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research
  • Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains
  • Encompasses comparison and analysis of recent technologies and trends
  • Includes development of smart models for information gain and effective decision making with visualization

The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.

Table of Contents




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

Neeraj Yadav, Somya Tripathi, Ekam Singh Chahal, and Suruchi Sabherwal

14 Time Series Analysis and Trend Exploration of Stock Market

Ratik Puri, Jagriti Bhandari, Ritik Gupta, and Adwitiya Sinha

15 Medical Search Engine

Palak Arora, Shresth Singh, and Megha Rathi

16 Assessing Impact of Global Terrorism Using Time Series Analysis

Satyam Saini, Vidushi Tripathi, Kartik Tyagi, and Adwitiya Sinha

17 Sustainable Statistics for Death Cognizance Analysis

Megha Rathi, Dhananjay Jindal, Manan Thakral, Rishabh, and Palak Arora

18 Modeling the Immune Response of B-Cell Receptor Using Petri Net for Tuberculosis

Gajendra Pratap Singh and Madhuri Jha

19 Crop Prediction and the Sustainability of Farming

Megha Rathi, Palak Arora, Tanya Srivastava, Nitya Arora, Jigyasa Agarwal, and Abhinna Arjun

20 Personalized Heart Disease Framework for Health Sustainability

Megha Rathi, Amogh Sanjeev Gupta, Ayush Raj, Rizul Singh, and Vishrut Sacheti

21 Sports Analytics for Classifying Player Actions in Basketball Games

Ayush Gupta, Ekam Singh Chahal, Ankur Haritosh, Adwitiya Sinha, and Satish Chandra


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Dr. Megha Rathi has obtained Ph.D. in Computer Science from Banasthali University and is presently working as an Assistant Professor (Senior Grade) in the Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has ten years of teaching experience and worked on a research project at the National Informatics Centre (NIC), Delhi. She has experience in software development and worked as a Project Associate at the Indian Institute of Technology (IIT), Delhi. She has organized several special sessions at international conferences and also delivered invited talk. Her research areas include sustainable computing, data mining, data science, health analytics, and machine learning.

Dr. Adwitiya Sinha has completed Ph.D. from the School of Computer & Systems Science (SCSS), Jawaharlal Nehru University (JNU) New Delhi, India. She was also awarded Senior Research Fellowship (SRF) from the Council of Scientific & Industrial Research (CSIR), New Delhi. She is presently working as Assistant Professor (Senior Grade) in the Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has been organizing & conducting special sessions in several international conferences as chairperson and session chair for invited sessions. She has also delivered lectures series in The Consortium for Educational Communication (CEC), University Grants Commission (UGC) on sensor networks and social media sciences. She has been promoted to IEEE Senior Member in 2019 by The Institute of Electrical and Electronics Engineers (IEEE), New York, USA. Her major research interest lies in Sustainable Computing, Social Networking, Large-scale Graph Algorithms, and Wireless Sensor Networks.