Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi

This study addressed the issues of insufficient feature utilization, poor spatial coherence, and weak generalization in conventional models for Geological hazard susceptibility assessment (GHSA) on the Loess Plateau in Northern Shaanxi. Thirteen conditioning factors were quantitatively evaluated and...

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Автори:	Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2025-09-01
Серія:	Results in Engineering
Предмети:	Geological hazard susceptibility assessment Deep learning ResNet Attention mechanism Transfer learning Loess Plateau in Northern Shaanxi
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2590123025020183
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