Download the fantastic book titled Deep Learning Technologies for the Sustainable Development Goals written by Virender Kadyan, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning Technologies for the Sustainable Development Goals", which was released on 01 February 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Deep Learning Technologies for the Sustainable Development Goals by Virender Kadyan PDF
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.
Detail About Deep Learning Technologies for the Sustainable Development Goals PDF
- Author : Virender Kadyan
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 254 pages
- ISBN : 9811957231
- Release Date : 01 February 2023
- PDF File Size : 13,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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