Novel Ensemble of M5P and Deep Learning Neural Network for Predicting Landslide Susceptibility: A Cross-Validation Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7707-9_5
Reference29 articles.
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3. Bhattacharya SK (2020) Geomorphometric analysis and terrain evaluation for environmental management in the Kurseong hill subdivision of the Darjeeling district, West Bengal, India. Environ Dev Sustain 22(2):985–1016
4. Bui DT, Hoang ND, Martínez-Álvarez F, Ngo PTT, Hoa PV, Pham TD, Samui P, Costache R (2020b) A novel deep learning neural network approach for predicting flash flood susceptibility: a case study at a high frequency tropical storm area. Sci Total Environ 701:134413
5. Bui QT, Nguyen QH, Nguyen XL, Pham VD, Nguyen HD, Pham VM (2020a) Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping. J Hydrol 581:124379
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