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Applied Data Science and Smart Systems.
・ISBN 978-1-041-44677-4 hard GB£ 171.99
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| 著者・編者 | Singh, Jaiteg / Kaushal, Rajesh Kumar / Sehra, Sukhjit Singh (eds.), |
|---|---|
| シリーズ | (Taylor and Francis Proceedings in Computer Science and Engineering) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 486 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-93910> |
解説
This volume presents the peer-reviewed proceedings of the International Conference on Applied Data Science and Smart Systems (ADSSS-2025), bringing together pioneering research that reflects the rapid advancements in data science, artificial intelligence, and intelligent computing.
The book showcases innovative contributions from researchers, academicians, and industry experts who address contemporary challenges through data-driven methodologies, smart computing, automation, and emerging digital technologies. Covering applications in healthcare, smart cities, manufacturing, finance, education, and other critical sectors, the chapters bridge the gap between theoretical foundations and practical implementations. Emphasising interdisciplinary collaboration, the proceedings explore novel algorithms, intelligent architectures, edge intelligence, deep learning, smart sensing, secure data communication, and applied mathematics. By presenting cutting-edge research alongside real-world applications, this volume captures the evolving landscape of intelligent systems and serves as a valuable record of the ideas, innovations, and collaborative efforts that are shaping the future of applied data science and smart technologies. It highlights significant advances in machine learning, deep learning, artificial intelligence, edge intelligence, smart sensing, software engineering, computer graphics, multimedia, secure data communication, and intelligent automation.
This book is an essential reference for researchers, academicians, postgraduate students, industry professionals, technology practitioners, and policymakers working in applied data science, artificial intelligence, smart systems, and allied disciplines. It will also benefit innovators and interdisciplinary research communities seeking current developments, practical insights, and future research directions in intelligent computing.