Statistics Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
Physical Science and Engineering (PSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
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Total article views: 5,280 (including HTML, PDF, and XML)
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5,280
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EndNote: 278
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Total article views: 4,228 (including HTML, PDF, and XML)
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3,415
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4,228
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BibTeX: 225
EndNote: 255
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Total article views: 1,052 (including HTML, PDF, and XML)
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1,042
8
2
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Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 5,280 (including HTML, PDF, and XML)
Thereof 5,123 with geography defined
and 157 with unknown origin.
Total article views: 4,228 (including HTML, PDF, and XML)
Thereof 4,084 with geography defined
and 144 with unknown origin.
Total article views: 1,052 (including HTML, PDF, and XML)
Thereof 1,039 with geography defined
and 13 with unknown origin.
We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
We propose a modeling approach capable of recognizing slopes that may generate landslides, as...