Proceedings of the 7th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2025 | Volume IV. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2026
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Librería: preigu, Osnabrück, Alemaniapreigu
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Proceedings of the 7th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2025 | Volume IV | Ming Gong (u. a.) | Buch | Lecture Notes in Electrical Engineering | xi | Englisch | 2026 | Springer | EAN 9789819222490 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
N° de ref. del artículo 136929783
- Título
- Proceedings of the 7th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2025 | Volume IV
- Autor
- Ming Gong (u. a.)
- Editorial
- Springer
- Año de publicación
- 2026
- Estado
- Neu
- Encuadernación
- Buch
- Idioma
- inglés
- ISBN 10
- 9819222494
- ISBN 13
- 9789819222490
- Peso del artículo
- 1160 gramos
- Dimensiones
- 241 x 160 x 42 mm
- Catálogos de vendedores
- Bücher
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Acerca del autor
GONG Ming, Professor level senior engineer, State Council Expert for Special Allowance. He serves as Committee member of National Technical Committee 278 on Electric Equipment and Systems for Railways of Standardization Administration of China, Deputy head of the expert group of National key research project of "advanced rail transportation", Expert of National high-level talents special support plan(Ten Thousand Talent Program), etc.
Diao Lijun is a Tier-3 Professor and Doctoral Supervisor at Beijing Jiaotong University, serving as the Director of the Key Lab. of Vehicular Multi-Energy Drive Systems (Beijing Jiaotong Univ.), Ministry of Education, and the Founder of the Multi-Source Power Drive System (VMEDS) Team.
Yougang Sun, Associate Professor, IEEE Senior Member. His main research field is involved in dynamics and control of transportation systems, encompassing maglev trains, underactuated robots, wave compensation systems, and machine vision applications.
Yunpeng Wu, Associate Professor, Yunnan Xingdian Talents, is currently with Kunming University of Science and Technology. His research interests include traffic safety monitoring, computer vision, and image processing, UAV-based automatic inspection.
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