GSS-RiskAsser: A Multi-Modal Deep-Learning Framework for Urban Gas Supply System Risk Assessment on Business Users

Gas supply system risk assessment is a serious and important problem in cities. Existing methods tend to manually build mathematical models to predict risk value from single-modal information, i.e., pipeline parameters. In this paper, we attempt to consider this problem from a deep-learning perspect...

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Detalles Bibliográficos
Autores principales: Li, Xuefei, Song, Liangtu, Liu, Liu, Zhou, Linli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588040/
https://www.ncbi.nlm.nih.gov/pubmed/34770315
http://dx.doi.org/10.3390/s21217010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588040/
https://www.ncbi.nlm.nih.gov/pubmed/34770315
http://dx.doi.org/10.3390/s21217010

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