1st Edition
Advanced Computational Techniques for Sustainable Computing
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 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.
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
Biography
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.