Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques. [PDF]
Sensors (Basel), 2023 Abbas F +6 more
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Evaluating the Efficiency of Probabilistic Weight of Evidence Model for Landslide Susceptibility Mapping (Case Study: Siyahbisheh Watershed, Mazandaran) [PDF]
, 2017 Ehsan Ebrahimi +2 more
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A study of stability analysis of pyroclastic covers based on electrical resistivity measurements
, 2012 Usually, the degree of stability of a slope is quantified by the Factor of Safety whose values depend on physical and mechanical soil properties analyzed on samples of much reduced sizes or referring to very small soil volumes around porous probes.
Di Maio, Rosa, Piegari, Ester
core +1 more source
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran. [PDF]
Sensors (Basel), 2022 Ghasemian B +8 more
europepmc +1 more source
Report and preliminary results of RV METEOR Cruise M78/3. Sediment transport off Uruguay and Argentina: from the shelf to the deep sea ; 19.05.2009 – 06.07.2009, Montevideo (Uruguay) – Montevideo (Uruguay) [PDF]
, 2012 The waters off Uruguay and Northern Argentina offer the possibility to study sediment transport processes from ‘source-to-sink’ in a relatively small area.
Krastel, Sebastian, Wefer, Gerold
core
Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping. [PDF]
Sci Rep, 2021 Min DH, Yoon HK.
europepmc +1 more source
Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland [PDF]
, 2016 Kamila Pawłuszek-Filipiak +1 more
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