Landslide Susceptibility Assessment Based on Machine Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7707-9_1
Reference116 articles.
1. Aditian A, Kubota T, Shinohara Y (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology 318:101–111
2. Akgun A (2012) A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at Izmir. Turkey. Landslides 9(1):93–106
3. Al-Hadidi MR, Alarabeyyat A, Alhanahnah M (2016) Breast cancer detection using K-nearest neighbor machine learning algorithm. 2016 9th International conference on developments in esystems engineering (DeSE), pp 35–39
4. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bullet Eng Geology Environ 58(1):21–44
5. Atkinson PM, Massari R (1998) Generalised linear modelling of susceptibility to landsliding in the central apennines. ITALY. Comput Geosci 24(4):373–385
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