Liang, J, Jia, L, Qin, Y, Liu, Z, Diao, L and An, M ORCID: https://orcid.org/0000-0002-1069-7492
2022,
Proceedings of the 5th international conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021 : rail transportation information processing and operational management technologies
, Lecture Notes in Electrical Engineering, 867
, Springer, Singapore.
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Abstract
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 researchers and graduate students working on rail transportation and electrical and information technologies.
Item Type: | Book |
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Editors: | Liang, JY, Jia, LM, Qin, Y, Liu, ZG, Diao, LJ and An, M |
Schools: | Schools > School of the Built Environment > Centre for Urban Processes, Resilient Infrastructures & Sustainable Environments |
Journal or Publication Title: | Lecture Notes in Electrical Engineering |
Publisher: | Springer |
Series Name: | Lecture Notes in Electrical Engineering |
ISBN: | 9789811699085 (hardcover); 9789811699115 (softcover); 9789811699092 (eBook) |
ISSN: | 1876-1100 |
Related URLs: | |
Depositing User: | Professor Min An |
Date Deposited: | 08 Mar 2022 09:21 |
Last Modified: | 08 Mar 2022 09:30 |
URI: | https://usir.salford.ac.uk/id/eprint/63329 |
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