Deep Learning Technologies for the Sustainable Development Goals - Issues and Solutions in the Post-COVID Era (Hardcover, 1st ed. 2023)

This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advanced Technologies and Societal Change
Release date:	February 2023
First published:	2023
Editors:	Virender Kadyan • T.P. Singh • Chidiebere Ugwu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	246
Edition:	1st ed. 2023
ISBN-13:	978-981-19-5722-2
Categories:	Books > Earth & environment > The environment > Environmental economics > Sustainability Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-19-5722-3
Barcode:	9789811957222

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