Proceedings of International Conference on Image, Vision and Intelligent Systems 2025 (ICIVIS 2025) (eBook)

Artikelnummer: 978-981-9562-52-7
Einband: PDF
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This book constitutes the refereed proceedings of ICIVIS2025, held in Hangzhou, China, in May 2025. This book provides a comprehensive collection of cutting-edge research and innovative solutions in image, vision and intelligent systems. The primary audience consists of academic researchers, industry professionals, and graduate students working in the domains of image, vision, and intelligent systems. This publication serves as an essential resource for those seeking to stay at the forefront of their respective fields, expand their knowledge, and explore new avenues for research and development.

This book constitutes the refereed proceedings of ICIVIS2025, held in Hangzhou, China, in May 2025. This book provides a comprehensive collection of cutting-edge research and innovative solutions in image, vision and intelligent systems. The primary audience consists of academic researchers, industry professionals, and graduate students working in the domains of image, vision, and intelligent systems. This publication serves as an essential resource for those seeking to stay at the forefront of their respective fields, expand their knowledge, and explore new avenues for research and development.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2026
Seitenangabe629 S.
AusgabekennzeichenEnglisch
AbbildungenXVII, 629 p. 278 illus., 256 illus. in color.
Masse99'034 KB
PlattformPDF
ReiheLecture Notes in Electrical Engineering; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorYou, Peng (Hrsg.) / Zheng, Yuhui (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Electrical Engineering; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Peng (Hrsg.) You

Peng You was born in Fengcheng, Jiangxi, China. He received the B.S., M.S., and Ph.D. degrees from the National University of Defense Technology (NUDT), Changsha, China, in 2005, 2008, and 2014, respectively, all in electrical engineering. Since 2014, he has been a Lecturer with the School of Electronic Science and Engineering, NUDT. His current research interests include the design of architecture for space information networks and cognitive radar. Yuhui Zheng (Senior Member, IEEE) received the B.S. degree in chemistry and the Ph.D. degree in computer science from Nanjing University of Science and Technology (NJUST), Nanjing, Jiangsu, China, in 2004 and 2009, respectively. He is currently a Full Professor with the School of Computer Science, Qinghai Normal University, Xining, China. His research interests cover image processing, pattern recognition, and remote sensing information systems.

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