Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-COVID Era eBook

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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.

This is a digital product.

Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-COVID Era and published by Springer. The Digital and eTextbook ISBNs for Deep Learning Technologies for the Sustainable Development Goals are 9789811957239, 9811957231 and the print ISBNs are 9789811957222, 9811957223.