[HTML][HTML] Landslide susceptibility map** 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) …
Prediction of the landslide susceptibility: Which algorithm, which precision?
HR Pourghasemi, O Rahmati - Catena, 2018 - Elsevier
Coupling machine learning algorithms with spatial analytical techniques for landslide
susceptibility modeling is a worth considering issue. So, the current research intend to …
susceptibility modeling is a worth considering issue. So, the current research intend to …
A GIS-based landslide susceptibility map** and variable importance analysis using artificial intelligent training-based methods
Landslides often cause significant casualties and economic losses, and therefore landslide
susceptibility map** (LSM) has become increasingly urgent and important. The potential …
susceptibility map** (LSM) has become increasingly urgent and important. The potential …
[HTML][HTML] An investigation of the combined effect of rainfall and road cut on landsliding
The reduction of soil suction and consequent loss of shear strength due to infiltration is
known to trigger shallow landslides during periods of concentrated rainfall. In the …
known to trigger shallow landslides during periods of concentrated rainfall. In the …
Assessment of landslide-prone areas and their zonation using logistic regression, logitboost, and naïvebayes machine-learning algorithms
The occurrence of landslide in the hilly region of South Korea is a matter of serious concern.
This study tries to produce landslide susceptibility maps for Jumun** Country in South …
This study tries to produce landslide susceptibility maps for Jumun** Country in South …
Rainfall-induced landslide susceptibility map** using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, China
P Ye, B Yu, W Chen, K Liu, L Ye - Natural Hazards, 2022 - Springer
The rainfall can contribute significantly to landslide events, especially in hilly areas. The
landslide susceptibility map (LSM) usually helps to mitigate disasters. However, how to …
landslide susceptibility map (LSM) usually helps to mitigate disasters. However, how to …
Hybrid machine learning approach for landslide prediction, Uttarakhand, India
Natural disasters always have a damaging effect on our way of life. Landslides cause
serious damage to both human and natural resources around the world. In this paper, the …
serious damage to both human and natural resources around the world. In this paper, the …
Is the push-pull paradigm useful to explain rural-urban migration? A case study in Uttarakhand, India
The present study explored the motivation of rural-urban migrants who moved from the
Himalaya foothills of Uttarakhand to its capital city, Dehradun. A survey of 100 migrant …
Himalaya foothills of Uttarakhand to its capital city, Dehradun. A survey of 100 migrant …
Estimation of soil erosion and sediment yield concentration across the Kolleru Lake catchment using GIS
Flat lakes with a large catchment area are especially affected by sediment inputs. The
Kolleru Lake catchment (south-eastern India) with a surface area of approximately 6121 km …
Kolleru Lake catchment (south-eastern India) with a surface area of approximately 6121 km …
Direct impacts of landslides on socio-economic systems: a case study from Aranayake, Sri Lanka
Background Landslides area controversial issue worldwide and cause a wide range of
impacts on the socio-economic systems of the affected community. However, empirical …
impacts on the socio-economic systems of the affected community. However, empirical …