COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity-Reference-Cited by-同舟云学术

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COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity

Published:2022-05-11 Issue:4 Volume:6 Page:420-449
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Psathas Anastasios Panagiotis¹^ORCID,Papaleonidas Antonios¹^ORCID,Iliadis Lazaros¹^ORCID,Papathanassiou George¹,Valkaniotis Sotirios¹

Affiliation:

1. Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2022.2062918

Reference73 articles.

1. On the complexity of seismic waves trapped in irregular topographies

2. Ground-Motion Observations at Hotel Montana during the M 7.0 2010 Haiti Earthquake: Topography or Soil Amplification?

3. The spatial correlation between earthquakes and landslides in Hokkaido (Japan), a GIS-based analysis of the past and the future

4. Seismically-induced mass movements and volumetric fluxes resulting from the 2010 Mw=7.2 earthquake in the Sierra Cucapah, Mexico

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of landslide hazard risks on the example of the land cadastre of Kosiv district;GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY;2023-12

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