ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection
In: Web and Big Data : 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, Jg. 14334 (2024), S. 277-293
Online
E-Book
Zugriff:
Titel: |
ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection
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Autor/in / Beteiligte Person: | Song, Huansheng ; Wen, Ya ; Song, Xiangyu ; Sun, Shi ; Jie ; Cai, Taotao ; Li, Jianxin ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Song, Xiangyu [Ed.] ; Feng, Ruyi [Ed.] ; Chen, Yunliang [Ed.] ; Li, Jianxin [Ed.] ; Min, Geyong [Ed.] |
Zeitschrift: | Web and Big Data : 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, Jg. 14334 (2024), S. 277-293 |
Veröffentlichung: | 2024 |
Medientyp: | E-Book |
ISBN: | 978-981-97-2420-8 (print) ; 978-981-97-2421-5 (print) |
DOI: | 10.1007/978-981-97-2421-5_19 |
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