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

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

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

This book explores the use of deep learning techniques to achieve the Sustainable Development Goals (SDGs) set by the United Nations for 2030. It provides insights into the promises, limits, and challenges of deep learning in various applications, such as speech and image processing, IoT, security, AR-VR, formal methods, and blockchain. The book highlights the need for extended research into deep learning and its impact on achieving the SDGs and discusses the implications of deep learning for sustainable development.

Format: Paperback / softback
Length: 246 pages
Publication date: 02 February 2024
Publisher: Springer Verlag, Singapore


This book delves into the realm of deep learning techniques, offering valuable insights into their application in achieving the United Nations' Sustainable Development Goals (SDGs) set forth for the year 2030. It explores the promises, limitations, and emerging challenges associated with these techniques, while also shedding light on the opportunities they present in diverse areas such as speech and image processing, IoT, security, AR-VR, formal methods, and blockchain. A comprehensive survey of major applications and research conducted using deep learning techniques, with a focus on SDGs, is presented throughout the book.

In particular, there is a pressing need to expand research into deep learning and its broader implications across various sectors, in order to assess its potential impact on achieving the SDGs. The chapters within this book serve as a valuable resource in identifying the utilization of deep learning across all sectors of the SDGs.

However, the rapid development of deep learning requires the support of organizational insight and oversight, particularly in the context of AI-based technologies. This book addresses this concern by presenting and discussing the implications of how deep learning enables the delivery of the sustainable development agenda.

By examining the intersection of deep learning and the SDGs, this book provides a valuable contribution to the ongoing efforts to address global challenges and create a more sustainable future. It serves as a resource for researchers, practitioners, policymakers, and anyone interested in leveraging the power of deep learning to achieve sustainable development.

Weight: 403g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811957253
Edition number: 1st ed. 2023

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