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Advances in Data Science and Optimization of Complex Systems : Proceedings of the International Conference on Applied Mathematics and Computer Science – ICAMCS 2024, Volume 2 / edited by Hoai An Le Thi, Hoai Minh Le, Quang Thuan Nguyen.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Le Thi, Hoai An.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1569
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Engineering mathematics.
- Engineering--Data processing.
- Engineering.
- Computational Intelligence.
- Mathematical and Computational Engineering Applications.
- Local Subjects:
- Computational Intelligence.
- Mathematical and Computational Engineering Applications.
- Physical Description:
- 1 online resource (625 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This proceeding set contains 81 selected full papers presented at the International Conference on Applied Mathematics and Computer Science (ICAMCS 2024), which was held on December 20-21, 2024 in Hanoi, Vietnam, in honor of Professors Pham Dinh Tao and Le Thi Hoai An for the 40th birthday of DC (Difference of Convex functions) programming and DCA (DC Algorithm). The book covers theoretical and algorithmic as well as practical issues connected with several domains of Applied Mathematics and Computer Science, especially Optimization and Data Science. The present part II of the 2-volume set includes articles devoted to Machine Learning: Algorithms and Applications. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools and techniques for their own work.
- Contents:
- Investigation of the modeling capability of Kolomogrov Arnold network for part quality prediction in machining
- Enhancing Taxonomy Construction via Sentence Embedding Models Trained with LLM-Generated Similarity Scores
- Feature Extraction Methods for Anomaly Detection using Electrocardiography Signal, etc.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-00267-2
- OCLC:
- 1544991302
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