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: 3,310 (including HTML, PDF, and XML)
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2,825
425
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3,310
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HTML: 2,825
PDF: 425
XML: 60
Total: 3,310
BibTeX: 198
EndNote: 214
Views and downloads (calculated since 06 Apr 2023)
Cumulative views and downloads
(calculated since 06 Apr 2023)
Total article views: 3,020 (including HTML, PDF, and XML)
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2,535
425
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3,020
193
209
HTML: 2,535
PDF: 425
XML: 60
Total: 3,020
BibTeX: 193
EndNote: 209
Views and downloads (calculated since 08 Mar 2024)
Cumulative views and downloads
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Total article views: 290 (including HTML, PDF, and XML)
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290
0
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290
5
5
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Total: 290
BibTeX: 5
EndNote: 5
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Cumulative views and downloads
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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: 3,310 (including HTML, PDF, and XML)
Thereof 3,183 with geography defined
and 127 with unknown origin.
Total article views: 3,020 (including HTML, PDF, and XML)
Thereof 2,906 with geography defined
and 114 with unknown origin.
Total article views: 290 (including HTML, PDF, and XML)
Thereof 277 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...