Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-Covid Era (2023)Hardcover - 2023, 2 February 2023

Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-Covid Era (2023)
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Part of Series
Advanced Technologies and Societal Change
Print Length
246 pages
Language
English
Publisher
Springer
Date Published
2 Feb 2023
ISBN-10
9811957223
ISBN-13
9789811957222

Description

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.

Product Details

Book Edition:
2023
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
2 February 2023
Dimensions:
23.39 x 15.6 x 1.6 cm
ISBN-10:
9811957223
ISBN-13:
9789811957222
Language:
English
Location:
Singapore
Pages:
246
Publisher:
Springer
Weight:
539.77 gm

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