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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Bibliographic Details
Main Authors:	Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Series:	Results in Engineering
Subjects:	Geological hazard susceptibility assessment Deep learning ResNet Attention mechanism Transfer learning Loess Plateau in Northern Shaanxi
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590123025020183
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Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi

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