Advanced Computational Techniques for Sustainable Computing  book cover
1st Edition

Advanced Computational Techniques for Sustainable Computing

  • Available for pre-order. Item will ship after October 7, 2021
ISBN 9780367495220
October 7, 2021 Forthcoming by Chapman and Hall/CRC
336 Pages 200 B/W Illustrations

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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

Chapter 1: Sustainable Computing - An Overview

Paras Chaudhary, Adwitiya Sinha, Somya Jain

Chapter 2: Ambient Air Quality Analysis & Prediction Using Air Quality Index and Machine Learning Models -The Case Study of Delhi

Megha Rathi, Muskan Garg, Japsehaj Singh Wahi, Mayank Deepak Thar

Chapter 3: Assessing Land Cover & Drought Prediction for Sustainable Agriculture

Anirban Dutta, Anushka Mittal, Shishir Khandelwal, Adwitiya Sinha

Chapter 4: Electronic Health Record for Sustainable eHealth

Prapti Miglani, Jagriti Bhandari, Ujjwal Alreja , Adwitiya Sinha

Chapter 5: Team Member Selection in Global Software Development: A Block chain Oriented Approach

Chetna Gupta, Megha Rathi

Chapter 6: Machine Learning in Sustainable Healthcare

Dipanwita Thakur, Suparna Biswas

Chapter 7: Multimedia Audio Signal Analysis for Sustainable Education

Aditya Lahiri, Ayushi Aggarwal, Parul Jindal, Megha Rathi, Adwitiya Sinha

Chapter 8: Smart Energy Monitoring based on IoT Analytics for Sustainable Wind Power System

Sherry Garg, K. Rajalakshmi

Chapter 9: Customer Analytics for Purchasing Behavior Prediction

Priyanka Parashar, Mitushi Agarwal, Aradhya Mathur

Chapter 10: Discernment of Malaria Infected Cells in the Blood Streak Images Using Advanced Learning Techniques

Megha Rathi, Chandna Gupta, Rachit Shukla, Raja Raubins

Chapter 11: Handwritten text recognition with IOT Device

Omkareshwar Tripathi, Mayank Tiwari, Anish Gupta

Chapter 12: Circadian Rhythm and lifestyle diseases

Sakshi Singh, Priyadarshini

Chapter 13: Deep Learning for Automated Disease Detection

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

Chapter 14: Time Series Analysis & Trend Exploration of Stock Market

Ratik Puri, Jagriti Bhandari, Ritik Gupta, Adwitiya Sinha

Chapter 15: Medical Search Engine

Palak Arora, Shresth Singh, Megha Rathi

Chapter 16: Assessing Impact of Global Terrorism using Time Series Analysis

Satyam Saini, Vidushi Tripathi, Kartik Tyagi, Adwitiya Sinha

Chapter 17: Sustainable Statistics for Death Cognizance Analysis

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

Chapter 18: Modeling the Immune Response of B-Cell Receptor using Petri Net for Tuberculosis

Gajendra Pratap Singh, Madhuri Jha

Chapter 19: Crop Prediction and the Sustainability of Farming

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

Chapter 20: Personalized heart disease framework for health sustainability

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

Chapter 21: Sports Analytics for Classifying Player Actions in Basketball Game

Ayush Gupta, Ekam Singh Chahal, Ankur Haritosh, Adwitiya Sinha, 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.