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: 4,158 (including HTML, PDF, and XML)
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3,417
654
87
4,158
230
255
HTML: 3,417
PDF: 654
XML: 87
Total: 4,158
BibTeX: 230
EndNote: 255
Views and downloads (calculated since 06 Apr 2023)
Cumulative views and downloads
(calculated since 06 Apr 2023)
Total article views: 3,852 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,111
654
87
3,852
222
250
HTML: 3,111
PDF: 654
XML: 87
Total: 3,852
BibTeX: 222
EndNote: 250
Views and downloads (calculated since 08 Mar 2024)
Cumulative views and downloads
(calculated since 08 Mar 2024)
Total article views: 306 (including HTML, PDF, and XML)
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306
0
0
306
8
5
HTML: 306
PDF: 0
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Total: 306
BibTeX: 8
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: 4,158 (including HTML, PDF, and XML)
Thereof 4,001 with geography defined
and 157 with unknown origin.
Total article views: 3,852 (including HTML, PDF, and XML)
Thereof 3,708 with geography defined
and 144 with unknown origin.
Total article views: 306 (including HTML, PDF, and XML)
Thereof 293 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...
