Landslide Susceptibility Assessment Considering Time-Varying of Dynamic Factors-Reference-Cited by-同舟云学术

Landslide Susceptibility Assessment Considering Time-Varying of Dynamic Factors

Published:2024-08 Issue:3 Volume:25 Page:
ISSN:1527-6988
Container-title:Natural Hazards Review
language:en
Short-container-title:Nat. Hazards Rev.

Author:

Li Zhongbo¹,Yin Chao²,Tan Ziyong¹,Liu Xinliang¹,Li Shufeng¹,Ma Xuebing¹,Zhang Xixuan¹

Affiliation:

1. Postgraduate, School of Civil Engineering and Geomatics, Shandong Univ. of Technology, 266 Xincun Rd., Zibo 255049, China.

2. Associate Professor, School of Civil Engineering and Geomatics, Shandong Univ. of Technology, 266 Xincun Rd., Zibo 255049, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/NHREFO.NHENG-2004

Reference47 articles.

1. A mechanistic approach to include climate change and unplanned urban sprawl in landslide susceptibility maps

2. Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

3. Performance improvement of deep neural network classifiers by a simple training strategy

4. Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China

5. An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

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