Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
H Akinci - Journal of African Earth Sciences, 2022 - Elsevier
In this study, the performances of machine learning models, such as artificial neural
networks (ANN), gradient-boosting machines (GBM), random forest (RF) and support vector …
networks (ANN), gradient-boosting machines (GBM), random forest (RF) and support vector …
[HTML][HTML] Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong …
A Saha, S Saha - Artificial Intelligence in Geosciences, 2022 - Elsevier
The aim of the current work is to compare susceptibility maps of landslides produced using
machine learning techniques ie multilayer perception neural nets (MLP), kernel logistic …
machine learning techniques ie multilayer perception neural nets (MLP), kernel logistic …
Natural hazard assessment and map** using remote sensing and QGIS tools for Mumbai city, India
Flooding and water logging possess severe hazards to human population in many parts of
the world. Mumbai, the study area, is one of the cities in India and has been frequently …
the world. Mumbai, the study area, is one of the cities in India and has been frequently …
Landslide susceptibility map** through continuous fuzzification and geometric average multi-criteria decision-making approaches
Landslide is a type of natural hazards causing many casualties in mountainous and rainy
areas. Therefore, recognizing areas those that have potentials for happening such type of …
areas. Therefore, recognizing areas those that have potentials for happening such type of …
基于水系分区的滑坡易发性机器学**分析方法: 以重庆市奉节县为例
仉文岗， 何昱苇， 王鲁琦， 刘松林， 陈柏林 - 地球科学, 2023 - earth-science.net
三峡库区是地质灾害管理的重点地区, 鉴于长江对其沿岸边坡的水力作用不容忽视,
因此需进一步研究水系因素对滑坡易发性的影响. 以重庆市奉节县为例, 考虑区域内水系影响 …
因此需进一步研究水系因素对滑坡易发性的影响. 以重庆市奉节县为例, 考虑区域内水系影响 …
Evolution and trend of landslide research in India based on a decade long publication record
This study analyses trends in landslide publication in India, between 2010 and 2020,
focusing on 79 studies, sourced from platforms like Google Scholar, ResearchGate, Web of …
focusing on 79 studies, sourced from platforms like Google Scholar, ResearchGate, Web of …
A comparative evaluation of machine learning algorithms and an improved optimal model for landslide susceptibility: a case study
Y Liu, P Xu, C Cao, B Shan, K Zhu, Q Ma… - … , Natural Hazards and …, 2021 - Taylor & Francis
In this study, four representative machine learning methods (support vector machine (SVM),
maximum entropy (MaxEnt), random forest (RF), and artificial neural network (ANN)) were …
maximum entropy (MaxEnt), random forest (RF), and artificial neural network (ANN)) were …
Landslides: A Review from the Southern Western Ghats of India
Landslides are the most unpredictable catastrophic events in mountainous and hilly regions.
South Western Ghats one among of the regions in India that have experienced recurring …
South Western Ghats one among of the regions in India that have experienced recurring …
Understanding the influence of geotechnical and geomorphological characteristics on the erosional processes of two geologic units in Udi and Aguata, SE Nigeria
Gully development and expansion in southeastern Nigeria have threatened humans and the
ecosystem, leading to several environmental damages worth millions of dollars. This has …
ecosystem, leading to several environmental damages worth millions of dollars. This has …
[HTML][HTML] Improved landslide susceptibility assessment: A new negative sample collection strategy and a comparative analysis of zoning methods
J Wang, Y Wang, M Li, Z Qi, C Li, H Qi, X Zhang - Ecological Indicators, 2024 - Elsevier
Landslide susceptibility assessment (LSA) aims to determine the spatial probability of
landslides, reducing the loss caused by future landslides. In order to assess the impact of …
landslides, reducing the loss caused by future landslides. In order to assess the impact of …