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Data Science and Emerging Technologies : Proceedings of DaSET 2025 / edited by Yap Bee Wah, Dhiya Al-Jumeily, Michael W. Berry.
- Format:
- Book
- Author/Creator:
- Wah, Yap Bee.
- Series:
- Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 302
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Cooperating objects (Computer systems).
- Internet of things.
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Internet of Things.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Internet of Things.
- Physical Description:
- 1 online resource (823 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book presents selected research papers from Fourth International Conference on Data Science and Emerging Technologies (DaSET 2025), held hybrid at UNITAR International University. Malaysia, from December 9–10, 2025. This book presents current research and applications of data science and emerging technologies. The topics of this book include generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications.
- Contents:
- Computer Vision, Remote Sensing, and Geospatial AI
- Industrial, Environmental, and Emerging Technologies
- Time Series Analysis and Forecasting
- Statistical Methods, Process Control, and Anomaly Detection
- Advanced AI Architectures, Interpretability, and Large Models
- Applied Data Science for Health, Public Services, and Social Impact.
- Notes:
- Print version record.
- ISBN:
- 9783032234070
- OCLC:
- 1610750137
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