Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10064-022-02657-4.pdf
Reference121 articles.
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2. Abujayyab SKM, Saleh A (2020) Landslides risk prediction using cascade neural networks model at Muş in Turkey. IOP Conf Sr Earth Environ Sci 540:012081
3. Alvioli M, Baum RL (2016) Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface. Environ Model Softw 81:122–135. https://doi.org/10.1016/j.envsoft.2016.04.002
4. Andrieu C, De Freitas N, Doucet A, Jordan MI (2003) An introduction to MCMC for machine learning. Mach Learn 50:5–43
5. Arabameri A, Saha S, Roy J, Chen W, Blaschke T, Bui DT (2020) Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River watershed. Iran Remote Sensing 12(3):475. https://doi.org/10.3390/rs12030475
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