Intelligent Systems Design and Applications : Deep Learning
Language: English
Published by Springer, 2024
- Softcover
- Used

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- Title
- Intelligent Systems Design and Applications : Deep Learning
- Author
- Abraham, Ajith (EDT); Bajaj, Anu (EDT); Hanne, Thomas (EDT); Hong, Tzung-pei (EDT)
- Publisher
- Springer
- Publication year
- 2024
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3031648358
- ISBN 13
- 9783031648359
This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Deep Learning from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and deep learning.
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From the Back Cover
This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Deep Learning from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and deep learning.
"About the title" may belong to another edition of this title.
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