Computational Intelligence in Engineering Science First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23-25, 2025, Proceedings, Part II

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23 25, 2025.
The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions. The papers are organized in the following topical sections:
Part I: Machine Learning; Wireless Networks (6G)

Part II: Computer Vision; Natural Language Processing

Part III: Intelligent Systems; Internet of Things

Part IV: Machine Learning; Control Systems

Riassunto

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025.
The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions. The papers are organized in the following topical sections:

Part I: Machine Learning; Wireless Networks (6G)



Part II: Computer Vision; Natural Language Processing



Part III: Intelligent Systems; Internet of Things



Part IV: Machine Learning; Control Systems

Dettagli sul prodotto

• Autori: Tran Tin Phu
• Con la collaborazione di: Ngoc Thanh Nguyen (Editore), Van Huy Pham (Editore), Trong Dao Tran (Editore), Tzung-pei Hong (Editore), Yannis Manolopoulos (Editore), Nhien An Le Khac (Editore), Van Huy Pham (Editore), Trong Dao Tran et al (Editore), Tran Tin Phu (Editore), Phu Tran Tin (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 09.08.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo
• EAN: 9783031981630
• ISBN: 978-3-0-3198163-0
• Numero di pagine: 408
• Illustrazioni: XIV, 408 p. 162 illus., 129 illus. in color.
• Dimensioni (della confezione): 15.5 x 2.3 x 23.5 cm
• Peso (della confezione): 640 g
• Serie: Communications in Computer and Information Science
• Categorie: UAV, machine learning, Deep Learning, AI, Communication, blockchain technology, Computer Vision, Control System, pattern recognition, Computer and Information Systems Applications, LLMs, Data mining and Big data analytics, Computational security, Robotic System