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

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

Timely and rational prediction of coseismic landslides is crucial for the design and development of key infrastructure capable to protect human lives in seismically active regions. This research introduces the novel Hybrid Coseismic Landslide Forecasting model (COLAFOS) that takes into consideration...

Full description

Bibliographic Details
Main Authors: Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis, George Papathanassiou, Sotirios Valkaniotis
Format: Article
Language:English
Published: Taylor & Francis Group 2022-10-01
Series:Journal of Information and Telecommunication
Subjects:
Fuzzy C-means
ensemble subspace k-NN
ensemble AdaBoost
clustering
classification
Online Access:https://www.tandfonline.com/doi/10.1080/24751839.2022.2062918

Internet

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

Similar Items