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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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Elsevier 2025-09-01
سلاسل:	Results in Engineering
الموضوعات:	Geological hazard susceptibility assessment Deep learning ResNet Attention mechanism Transfer learning Loess Plateau in Northern Shaanxi
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2590123025020183
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!