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
Viewed
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: 3,852 (including HTML, PDF, and XML)
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3,256
519
77
3,852
217
229
HTML: 3,256
PDF: 519
XML: 77
Total: 3,852
BibTeX: 217
EndNote: 229
Views and downloads (calculated since 06 Apr 2023)
Cumulative views and downloads
(calculated since 06 Apr 2023)
Total article views: 3,562 (including HTML, PDF, and XML)
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2,966
519
77
3,562
212
224
HTML: 2,966
PDF: 519
XML: 77
Total: 3,562
BibTeX: 212
EndNote: 224
Views and downloads (calculated since 08 Mar 2024)
Cumulative views and downloads
(calculated since 08 Mar 2024)
Total article views: 290 (including HTML, PDF, and XML)
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290
0
0
290
5
5
HTML: 290
PDF: 0
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Total: 290
BibTeX: 5
EndNote: 5
Views and downloads (calculated since 06 Apr 2023)
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: 3,852 (including HTML, PDF, and XML)
Thereof 3,706 with geography defined
and 146 with unknown origin.
Total article views: 3,562 (including HTML, PDF, and XML)
Thereof 3,429 with geography defined
and 133 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...