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Proceedings of the 7th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2025 (eBook)

Volume I
Artikelnummer: 978-981-9222-62-9
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchersand graduate students working on rail transportation and electrical and information technologies.

This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchersand graduate students working on rail transportation and electrical and information technologies.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2026
Seitenangabe657 S.
AusgabekennzeichenEnglisch
AbbildungenX, 657 p. 330 illus., 279 illus. in color.
Masse67'273 KB
PlattformPDF
ReiheLecture Notes in Electrical Engineering; Engineering; Engineering ; Springer Nature Proceedings excluding Computer Science
AutorJia, Limin (Hrsg.) / Xie, Zhengyu (Hrsg.) / Cheng, Xiaoqing (Hrsg.) / Wang, Li (Hrsg.)

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

Über den Autor Limin (Hrsg.) Jia

Liming Jia, Beijing Jiaotong University, No.3 Shangyuancun Haidian District Beijing , China, lmjia@bjtu.edu.cn Bio of Liming Jia: Liming Jia is a professor at Beijing Jiaotong University, a member of the National Carbon Neutrality Technology Expert Committee, Vice President of the China Electrotechnical Society, and a Supervisor of the China Intelligent Transportation Association. He was awarded the Special Allowance of the State Council of China,the "Millions of Talent Projects" National candidates, the National Outstanding Scientific and Technical Workers. Peng Jia, Dalian Maritime University, Haozhiying Technology Building A 1019, No. 523 Huangpu Road, Dalian, Liaoning Province, China, jiapeng@dlmu.edu.cn Bio of Peng Jia: Peng Jia, professor, school of maritime economics & management, dalian maritime university.his research interests include integrated transportation system science and intelligent technology, intelligent technology for multimodal transportation, design and innovation of new services for autonomous driving, analysis and modeling of transportation big data.

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