Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques
Every year man-made and natural disasters impact the lives of millions of people. The
frequency of occurrence of such disasters is steadily increasing since the last 50 years, and …
frequency of occurrence of such disasters is steadily increasing since the last 50 years, and …
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 …
Predictive Performances of ensemble machine learning algorithms in landslide susceptibility mapping using random forest, extreme gradient boosting (XGBoost) and …
T Kavzoglu, A Teke - Arabian Journal for Science and Engineering, 2022 - Springer
Across the globe, landslides have been recognized as one of the most detrimental
geological calamities, especially in hilly terrains. However, the correct determination of …
geological calamities, especially in hilly terrains. However, the correct determination of …
Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold
Rainfall-induced landslide hazard warning, which refers to the prediction of the spatial-
temporal probability of landslide occurrence in a certain area under the conditions of …
temporal probability of landslide occurrence in a certain area under the conditions of …
Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Commonly used data-driven models for landslide susceptibility prediction (LSP) can be
mainly classified as heuristic, general statistical or machine learning models. This study …
mainly classified as heuristic, general statistical or machine learning models. This study …
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Landslides are a geological hazard that can pose a serious threat to human health and the
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
DT Bui, P Tsangaratos, VT Nguyen, N Van Liem… - Catena, 2020 - Elsevier
The main objective of the current study was to introduce a Deep Learning Neural Network
(DLNN) model in landslide susceptibility assessments and compare its predictive …
(DLNN) model in landslide susceptibility assessments and compare its predictive …
GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
X Chen, W Chen - Catena, 2021 - Elsevier
Globally, but especially in China, landslides are considered to be one of the most severe
and significant natural hazards. In this study, bivariate statistical-based kernel logistic …
and significant natural hazards. In this study, bivariate statistical-based kernel logistic …
[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 …