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Landslide susceptibility modeling by interpretable neural network

Earth Sciences

Landslide susceptibility modeling by interpretable neural network

K. Youssef, K. Shao, et al.

This groundbreaking research by K. Youssef, K. Shao, S. Moon, and L.-S. Bouchard unveils a superposable neural network framework for landslide susceptibility assessment, setting new benchmarks in interpretability and accuracy while identifying key factors like slope-climate interactions.

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~3 min • Beginner • English
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Citations
61
Influential Citations
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Reference Count
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Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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