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[HTML][HTML] Landslide susceptibility map** 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 …
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Landslide susceptibility assessment of a part of the Western Ghats (India) employing the AHP and F-AHP models and comparison with existing susceptibility maps
Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in
the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives …
the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives …
Landslide susceptibility assessment in multiple urban slope settings with a landslide inventory augmented by InSAR techniques
Landslide susceptibility assessment (LSA) evaluates the likelihood of landslide occurrences
and can help mitigate and prevent landslide risks. Recently, there have been vast …
and can help mitigate and prevent landslide risks. Recently, there have been vast …
integrating machine learning ensembles for landslide susceptibility map** in Northern Pakistan
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility map** (LSM) has been globally deemed as an …
infrastructure. Landslide susceptibility map** (LSM) has been globally deemed as an …
Improving GALDIT-based groundwater vulnerability predictive map** using coupled resampling algorithms and machine learning models
Develo** accurate groundwater vulnerability maps is important for the sustainable
management of groundwater resources. In this research, resampling methods [eg, Bootstrap …
management of groundwater resources. In this research, resampling methods [eg, Bootstrap …
Novel evolutionary-optimized neural network for predicting landslide susceptibility
In order to mitigate/prevent the risks of landslides, one of the essential tools that can be used
to manage and plan the development of human settlements is landslide susceptibility. The …
to manage and plan the development of human settlements is landslide susceptibility. The …
[HTML][HTML] Spatial prediction of landslide susceptibility using logistic regression (LR), functional trees (FTs), and random subspace functional trees (RSFTs) for Pengyang …
Landslides pose significant and serious geological threat disasters worldwide, threatening
human lives and property; China is particularly susceptible to these disasters. This paper …
human lives and property; China is particularly susceptible to these disasters. This paper …
Flash-flood potential map** using deep learning, alternating decision trees and data provided by remote sensing sensors
There is an evident increase in the importance that remote sensing sensors play in the
monitoring and evaluation of natural hazards susceptibility and risk. The present study aims …
monitoring and evaluation of natural hazards susceptibility and risk. The present study aims …
An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility map** in the Rangit River watershed, India
This study examined landslide susceptibility, an increasingly common problem in
mountainous regions across the world as a result of urbanization, deforestation, and various …
mountainous regions across the world as a result of urbanization, deforestation, and various …