Deep Learning Technologies for the Sustainable Development Goals is popular PDF and ePub book, written by Virender Kadyan in 2023-02-01, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Deep Learning Technologies for the Sustainable Development Goals can be Read Online from any device for your convenience.

Deep Learning Technologies for the Sustainable Development Goals Book PDF Summary

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 Book of Deep Learning Technologies for the Sustainable Development Goals PDF

Deep Learning Technologies for the Sustainable Development Goals
  • Author : Virender Kadyan
  • Release : 01 February 2023
  • Publisher : Springer Nature
  • ISBN : 9789811957239
  • Genre : Technology & Engineering
  • Total Page : 254 pages
  • Language : English
  • PDF File Size : 10,8 Mb

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