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Cookie akzeptieren![Kadyan, Virender / Chidiebere Ugwu et al (Hrsg.). Deep Learning Technologies for the Sustainable Development Goals - Issues and Solutions in the Post-COVID Era. Springer Nature Singapore, 2023.](https://eichendorff21.de/cdata/Cg3sxR9lKvxOcR-bZdzlTLppD6M=/300x0/9789811957222.png)
Deep Learning Technologies for the Sustainable Development Goals
- Springer Nature Singapore
- 2023
- Gebunden
- 260 Seiten
- ISBN 9789811957222
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
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