Decision Analytics for Sustainable Development in Smart Society 5.0

ISBN-13: 9789811916915 / Angielski / Miękka / 2023

Opis

This book covers sustainable development in smart society’s 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

Spis treści

Intelligent Systems for Sustainable Development of Healthcare Industry.- Fruit Fly Damage Control- A Comprehensive Solution for Sustainable Development of Gherkin Industry.- Uprising of EV’s: Charging the Future with Demystified Analytics and Sustainable Development.- Assessing Intelligence Text Classification Techniques.- Automated Traffic Rule Violation Detection with E-Challan Generation for Smart Societies.- Internet of Things based Pigeon Pea Disease Detection Tool to Achieve Sustainable Development in Smart Farming.- IT Infrastructure for Smart City: Issues and Challenges in Migration from Relational to NoSQL Databases.- Data Security in Collaborative Business Intelligence for Sustainable Super Smart Society.- An Analytical Approach for Sustainable Development in Smart Society 5.0 using Swasthya Sahayak Application.- Effectiveness of Digital Elevation Models in Morphometric analysis using Remote sensing and GIS Approach for Smart Society.- Internet of Medical Things(IoMT) & Secured using Steganography for Development of Smart Society 5.0.- An Enhanced Multi-Channel MAC Protocol with Intelligent Sleep Scheduling Capabilities for High Lifetime Smart City Networks.- An Analytical Approach Towards Data Stream Processing on Smart Society for Sustainable Development.

O autorze

Vikram Bali is Director of IMS Engineering College, Ghaziabad, India. He has more than 20 years of rich academic and administrative experience. He has published more than 50 research papers in international journals/ conferences, and has edited and authored text books to his credit. Additionally, he has published five patents. Dr. Bali is on the editorial board and on review panel of many international journals, and is series editor for three book series of top international publishers. He was awarded the Green Thinker Z- Distinguished Educator Award 2018 for remarkable contribution in the field of Computer Science and Engineering at the Third International Convention on Interdisciplinary Research for Sustainable Development (IRSD) at the Confederation of Indian Industry (CII). His research interest includes cyber security, automata theory, CBSS, and ERP.

Vishal Bhatnagar has more than 21 years of teaching experience in various technical institutions. He is currently working as Professor in Computer Science & Engineering Department at Netaji Subhash University of Technology (East Campus), formerly Ambedkar Institute of Advanced Communication Technologies & Research, Delhi, India. His research interests include database, advance database, data warehouse, data-mining, social network analysis, data science, and big data analytics. He has to his credit more than 120 research papers in various international journals, conferences, and chapters. He is currently working as Associate Editor of few journals of IGI Global and Inderscience. He has guest edited special issues of many Scopus-indexed journals. He is also Series Editor of Handling Data Science Problems and Solutions. 

Joan Lu is in the Department of Computer Science and is Research Group Leader of Information and System Engineering (ISE) in the Centre of High Intelligent Computing (CHIC), having previously been team leader in the IT department of Charlesworth Group publishing company. She has published seven academic books and more than 200 peer-reviewed academic papers. Her research publications have 1388 reads and 185 citations by international colleagues, according to incomplete statistics from the research gate. She has acted as Founder and Program Chair for the International XML Technology Workshop for 11 years and serves as Chair of various international conferences. She is Founder and Editor in Chief of International Journal of Information Retrieval Research and serves as a BCS examiner of Database and Advanced Database Management Systems, and is an FHEA. She has been the UOH principle investigator for four recent EU interdisciplinary (computer science and psychology) projects.

Kakoli Banerjee is heading the Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida, India. Prior to her 18 years in academia, she has three years of industry experience. Her papers have been published in international journals of repute indexed in Scopus, ESCI, and other eminent databases. Currently, she is working for a funded projects, sanctioned by the Collaborative Research and Innovation Program (CRIP) under TEQIP- 3 by Dr. A. P. J. Abdul, Kalam Technical University Uttar Pradesh, Lucknow. She has been a reviewer and guest editor of several reputed journals and books. She has a Granted Patent to her name and one published. She has developed video content for subjects like Operating System and Database Management System for public universities and for government websites. She has published a book on Industry 4.0 by a leading international publisher.