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portada Computational Intelligence and Industrial Applications. 11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part I
Type
Physical Book
Collection
Communications in Computer and Information Science
Year
2025
Pages
415
Format
Paperback
Dimensions
23.50 x 15.50 cm
ISBN13
9789819647521

Computational Intelligence and Industrial Applications. 11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part I

Bin Xin;Weihua Cao;Jinhua She;Hongbin Ma (Author) · Springer Nature Switzerland AG · Paperback

Computational Intelligence and Industrial Applications. 11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part I - Bin Xin;Weihua Cao;Jinhua She;Hongbin Ma

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Synopsis "Computational Intelligence and Industrial Applications. 11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part I"

mso-ansi-language: EN-US; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-ansi-language: EN-US; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-ansi-language: EN-US; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-ansi-language: EN-US; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-ansi-language: EN-US;

This two-volume set CCIS 2465-2466, constitutes of the proceedings of 11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024, held in Beijing, China, during November 1–5, 2024.

The 55 full papers and 5 short papers included in this volume were carefully reviewed and selected from 135 submissions. The topics cover the following fields connected to computational intelligence and intelligent informatics: intelligent information processing, pattern recognition and computer vision, intelligent optimization and decision-making, advanced control, multi-agent systems, robotics and various applications of computational intelligence methods such as neural networks, fuzzy reasoning, evolutionary computing, machine learning and deep learning.

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