Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Author:

Thi Ngo Phuong Thao,Panahi Mahdi,Khosravi Khabat,Ghorbanzadeh Omid,Kariminejad Narges,Cerda Artemi,Lee Saro

Funder

Korea Institute of Geoscience and Mineral Resources

Project of Environmental Business Big Data Platform and Center Construction

Ministry of Science and ICT

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference65 articles.

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2. Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria;Alilou;J. Environ. Manag.,2019

3. Globally trained handwritten word recognizer using spatial representation, convolutional neural networks, and hidden Markov models;Bengio;In: Advances in neural information processing systems,,1994

4. Landslide distribution and size in response to Quaternary fault activity: the Peloritani Range, NE Sicily, Italy;Bucci;Earth Surf. Process. Landforms,2016

5. A novel deep learning neural network approach for predicting flash flood susceptibility: a case study at a high frequency tropical storm area;Bui;Sci. Total Environ.,2020

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