[HTML][HTML] Landslide susceptibility mapping using machine learning: A literature survey
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …
occur more frequently due to increasing urbanization, deforestation, and climate change …
Soft computing ensemble models based on logistic regression for groundwater potential mapping
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
Using multiple ensemble learning techniques for improving the predictive accuracy of
landslide models is an active research area. In this study, we combined a radial basis …
landslide models is an active research area. In this study, we combined a radial basis …
A novel hybrid method for landslide susceptibility mapping-based geodetector and machine learning cluster: A case of Xiaojin county, China
W Xie, X Li, W Jian, Y Yang, H Liu, LF Robledo… - … International Journal of …, 2021 - mdpi.com
Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide
hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM …
hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM …
Groundwater potential mapping combining artificial neural network and real AdaBoost ensemble technique: the DakNong province case-study, Vietnam
The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping
In landslide susceptible mountainous regions, the precondition for avoiding and alleviating
perilous dangers is the susceptibility mapping of the landslide. In northern Pakistan …
perilous dangers is the susceptibility mapping of the landslide. In northern Pakistan …
Dynamic development of landslide susceptibility based on slope unit and deep neural networks
Y Hua, X Wang, Y Li, P Xu, W Xia - Landslides, 2021 - Springer
Abstract The Three Gorges Reservoir is one of the areas with the most serious landslide
hazards in China. Landslide susceptibility indicates where landslides are prone to occur in …
hazards in China. Landslide susceptibility indicates where landslides are prone to occur in …
A landslide susceptibility evaluation of highway disasters based on the frequency ratio coupling model
H Fan, Y Lu, Y Hu, J Fang, C Lv, C Xu, X Feng, Y Liu - Sustainability, 2022 - mdpi.com
A landslide disaster, especially a highway landslide, may greatly impact the transport
capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting the …
capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting the …
[HTML][HTML] Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in …
BWW Elvis, M Arsene, NM Theophile… - Journal of Hydrology …, 2022 - Elsevier
Study region Yoyo river basin, Méiganga, Adamawa region, Cameroon. Study focus The
study aimed firstly to delineate and classify groundwater prospective zones in granito …
study aimed firstly to delineate and classify groundwater prospective zones in granito …
Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier
M Sahana, BT Pham, M Shukla, R Costache… - Geocarto …, 2022 - Taylor & Francis
In this study, we have investigated rainfall induced landslide susceptibility of the Uttarkashi
district of India through the developmentof different novel GIS based soft computing …
district of India through the developmentof different novel GIS based soft computing …