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[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) …
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
With the increasing threat of recurring landslides, susceptibility maps are expected to play a
bigger role in promoting our understanding of future landslides and their magnitude. This …
bigger role in promoting our understanding of future landslides and their magnitude. This …
This paper aims to use recurrent neural networks (RNNs) to perform landslide susceptibility
map** in Yongxin County, China. The two main contributions of this study are summarized …
map** in Yongxin County, China. The two main contributions of this study are summarized …
Зберегти Послатися Цитовано в 246 джерелах G Agboola, LH Beni, T Elbayoumi, G Thompson - Ecological Informatics, 2024 - Elsevier
Landslides present a substantial risk to human lives, the environment, and infrastructure.
Consequently, it is crucial to highlight the regions prone to future landslides by examining …
Consequently, it is crucial to highlight the regions prone to future landslides by examining …
GIS based hybrid computational approaches for flash flood susceptibility assessment
Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …
(region) where the response time of the drainage basin is short. Identification of probable …
GIS-based landslide susceptibility map** using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
MS Chowdhury, MN Rahman, MS Sheikh, MA Sayeid… - Heliyon, 2024 - cell.com
The frequency of landslides and related economic and environmental damage has
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
[HTML][HTML] Flash flood susceptibility map** using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Flash floods are responsible for loss of life and considerable property damage in many
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
[HTML][HTML] Utilizing hybrid machine learning and soft computing techniques for landslide susceptibility map** in a drainage basin
Y Mao, Y Li, F Teng, AKS Sabonchi, M Azarafza… - Water, 2024 - mdpi.com
The hydrological system of thebasin of Lake Urmia is complex, deriving its supply from a
network comprising 13 perennial rivers, along withnumerous small springs and direct …
network comprising 13 perennial rivers, along withnumerous small springs and direct …
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility map**
Landslides are dangerous events which threaten both human life and property. The study
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …
Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh
Drought is a damaging and costly natural disaster that frequently affects many climatic
regions in the world. A multi-criteria-based approach for integrated spatial drought …
regions in the world. A multi-criteria-based approach for integrated spatial drought …