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Advances in data science and optimiz...

International Conference on Applied Mathematics and Computer Science ((2024 :)

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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in data science and optimization of complex systems/ edited by Hoai An Le Thi, Hoai Minh Le, Quang Thuan Nguyen.
其他題名:	proceedings of the International Conference on Applied Mathematics and Computer Science - ICAMCS 2024.
其他題名:	ICAMCS 2024
其他作者:	Le Thi, Hoai An.
團體作者:	International Conference on Applied Mathematics and Computer Science
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xii, 420 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computer science - Mathematics -
電子資源:	https://doi.org/10.1007/978-3-032-00267-9
ISBN:	9783032002679

Advances in data science and optimization of complex systems = proceedings of the International Conference on Applied Mathematics and Computer Science - ICAMCS 2024.. Volume 2 /
Advances in data science and optimization of complex systemsproceedings of the International Conference on Applied Mathematics and Computer Science - ICAMCS 2024.Volume 2 /[electronic resource] :ICAMCS 2024edited by Hoai An Le Thi, Hoai Minh Le, Quang Thuan Nguyen. - Cham :Springer Nature Switzerland :2025. - xii, 420 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,15692367-3389 ;. - Lecture notes in networks and systems ;1569..

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.

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.

ISBN: 9783032002679

Standard No.: 10.1007/978-3-032-00267-9doiSubjects--Topical Terms:

678603
Computer science
--Mathematics

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

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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