Advances in Data Science and Optimization of Complex Systems: Proceedings of the International Conference on Applied Mathematics and Computer Science – ICAMCS 2024. Volume 2
Author:   Hoai An Le Thi ,  Hoai Minh Le ,  Quang Thuan Nguyen
Publisher:   Springer
Volume:   1569
ISBN:  

9783032002662


Pages:   417
Publication Date:   30 August 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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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


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Overview

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.

Full Product Details

Author:   Hoai An Le Thi ,  Hoai Minh Le ,  Quang Thuan Nguyen
Publisher:   Springer
Imprint:   Springer
Volume:   1569
ISBN:  

9783032002662


ISBN 10:   3032002664
Pages:   417
Publication Date:   30 August 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of 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.

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