Smart Technologies for Sustainable Development Goals
No Poverty
1st Edition
Will be published approx. on 20. July 2026
Book
Paperback/Softback
272 pages
978-1-032-85617-9 (ISBN)
Description
Sustainable Development Goals or SDGs refer to the UN stipulated road-map for development in 17 defined areas, by 2030. It was built on the previously established Millennium Development Goals (MDG). This first volume (SDG-1) deals with eradicating poverty with the help of modern ICT technologies needed to end poverty and create a better society. This much needed book, which is the first of its type to offer a specific focus on the relationship between technology and the SDG-1 goal, will be valuable for all working in the subject of global sustainable development. Global organisations and representatives of governments targeting no poverty share knowledge on these ICT practices to eradicate poverty in all means.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
26 s/w Abbildungen, 9 farbige Abbildungen, 3 s/w Photographien bzw. Rasterbilder, 3 Farbfotos bzw. farbige Rasterbilder, 23 s/w Zeichnungen, 6 farbige Zeichnungen
6 Line drawings, color; 23 Line drawings, black and white; 3 Halftones, color; 3 Halftones, black and white; 9 Illustrations, color; 26 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-032-85617-9 (9781032856179)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
12/2024
1st Edition
CRC Press
€73.99
Available for download
E-Book
12/2024
1st Edition
CRC Press
€73.99
Available for download
Book
12/2024
1st Edition
CRC Press
€208.50
Shipment within 10-20 days
Persons
A. Jose Anand is a Professor at the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, India. He has presented several papers in prominent conferences, has published several papers in reputed journals, and published books in professional & engineering subjects. He is a member of the Institution of Engineers, Computer Society of India, Institution of Engineering and Technology, Indian Society for Technical Education, etc. His current research interests include Wireless Sensor Networks, Embedded Systems, IoT, Machine Learning and Image Processing, etc.
Saravanan Krishnan is an Associate Professor, Department of Computer Science & Engineering in College of Engineering, Guindy, Anna University, Chennai, India. He is also Deputy Director for Centre for University-Industry Collaboration (CUIC), Anna University, Chennai. He has a master's in Software Engineering and PhD in Computer Science and Engineering. His research interests include Cloud Computing, Blockchain, Software Engineering, IoT, and Smart cities. He published several papers conferences, book chapters reputed journals. He has edited 15 books with major publishers. He is a Fellow of the Institution of Engineers and senior member of the Association of Computing Machinery, Indian Society for Technical Education, etc.
Saravanan Krishnan is an Associate Professor, Department of Computer Science & Engineering in College of Engineering, Guindy, Anna University, Chennai, India. He is also Deputy Director for Centre for University-Industry Collaboration (CUIC), Anna University, Chennai. He has a master's in Software Engineering and PhD in Computer Science and Engineering. His research interests include Cloud Computing, Blockchain, Software Engineering, IoT, and Smart cities. He published several papers conferences, book chapters reputed journals. He has edited 15 books with major publishers. He is a Fellow of the Institution of Engineers and senior member of the Association of Computing Machinery, Indian Society for Technical Education, etc.
Content
Preface. Introduction to Technological Assistance for Poverty Reduction. Food Security and Safety to End Poverty. ICT Alleviates Poverty Focusing on Healthcare, Agriculture and Entrepreneurship. Role of ICT in Harnessing Poverty Reduction: An Empirical Study using an ARDL Approach. Developing Social Protection Systems to End Poverty in Indonesia. Smart Media Technology in No Poverty Reduction. Sustainable Livestock Production and Poverty Alleviation. Modern Farming Techniques to Sustainable Livelihoods. Artificial Intelligence for Hunger Monitoring and Mitigation. Machine Learning Methods to Predict and Classify Poverty. Machine Learning Technologies for Agricultural Prediction to Enhance Economic Growth. Empowering Poverty Prediction with Sustainable AI Techniques. Precision Poverty Evaluation: Leveraging Generalized Linear Models and XG Boost Algorithms. Transforming Data into Action: Leveraging Big Data Analytics to End Poverty. Eradication of Poverty using Smart Governance: Case Study of European Union Cities. Index.