Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Landslides are one of the catastrophic natural hazards that occur in mountainous areas,
leading to loss of life, damage to properties, and economic disruption. Landslide …
leading to loss of life, damage to properties, and economic disruption. Landslide …
Machine learning for landslides prevention: a survey
Landslides are one of the most critical categories of natural disasters worldwide and induce
severely destructive outcomes to human life and the overall economic system. To reduce its …
severely destructive outcomes to human life and the overall economic system. To reduce its …
[HTML][HTML] 基于机器学习的区域滑坡灾害预警模型研究
刘艳辉， 方然可， 苏永超， 肖锐铧 - 工程地质学报, 2021 - dzkx.org
中国滑坡灾害严重, 区域滑坡灾害预警是防灾减灾的重要手段之一, 预警模型是开展区域滑坡
灾害预警的关键问题. 本文系统开展了基于机器学习的区域滑坡灾害预警模型研究 …
灾害预警的关键问题. 本文系统开展了基于机器学习的区域滑坡灾害预警模型研究 …
Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest
D Sun, J Xu, H Wen, D Wang - Engineering Geology, 2021 - Elsevier
This study aims to develop two optimized models of landslide susceptibility mapping (LSM),
ie, logical regression (LR) and random forest (RF) models, premised on hyperparameter …
ie, logical regression (LR) and random forest (RF) models, premised on hyperparameter …
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Landslides represent a part of the cascade of geological hazards in a wide range of geo-
environments. In this study, we aim to investigate and compare the performance of two state …
environments. In this study, we aim to investigate and compare the performance of two state …
[HTML][HTML] Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
Landslides are a common type of natural disaster that brings great threats to the human lives
and economic development around the world, especially in the Chinese Loess Plateau …
and economic development around the world, especially in the Chinese Loess Plateau …
[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …
overwhelming natural as well as man-made disaster that causes loss of natural resources …
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
The main purpose of the present study is to use three state-of-the-art data mining
techniques, namely, logistic model tree (LMT), random forest (RF), and classification and …
techniques, namely, logistic model tree (LMT), random forest (RF), and classification and …
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
W Chen, S Zhang, R Li, H Shahabi - Science of the total environment, 2018 - Elsevier
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …