Integrating AI in Science, Management, and Technology : First International Conference, AISMT 2025, Vadodara, India, February 20-21, 2025, Proceedings
Language: English
Published by Springer, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.
Seller Inventory # 9783032082596
- Title
- Integrating AI in Science, Management, and Technology : First International Conference, AISMT 2025, Vadodara, India, February 20-21, 2025, Proceedings
- Author
- Varun Bajaj
- Publisher
- Springer
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3032082595
- ISBN 13
- 9783032082596
- Item weight
- 610 grams
- Dimensions
- 235x155x22 mm
This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.
The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.
"Synopsis" may belong to another edition of this title.
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