<p>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<span style="font-size: 12.0pt; line-height: 115%; font-family: 'Aptos',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">.</span></p><p>The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.<span style="mso-no-proof: yes;">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.</span></p>

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Integrating AI in Science, Management, and Technology

摘要

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.