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Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia
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Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: hybrid machine learning approaches
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The concept of “Resilience”: history of formation and approaches to definition
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Defining urban resilience: a review
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Reviewing the use of resilience concepts in forest sciences
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Seismic resilience of building inventory towards resilient cities
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A scientometric review of Urban Disaster Resilience Research
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Multi-stage composition of urban resilience and the influence of pre-disaster urban functionality on urban resilience
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The indispensable role of resilience in rational landslide risk management for social
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An inclusive and adaptive framework for measuring social resilience to disasters
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Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, west Nepal
10.1016/j.cageo.2012.11.003 · 2013
Machine learning methods for landslide susceptibility studies: a comparative overview of algorithm performance
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Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
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A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
10.1016/j.geomorph.2020.107201 · 2020
Comparison of landslide susceptibility maps using random forest and multivariate adaptive regression spline models in combination with catchment map units
10.1007/s12303-018-0038-8 · 2019
Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China
10.1080/19475705.2023.2190858 · 2023
An optimized random forest model and its generalization ability in landslide susceptibility mapping: application in two areas of three gorges reservoir, China
10.1007/s12583-020-1072-9 · 2020
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Unresolved referenced work
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Unresolved referenced work
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Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable development goals
2023
A review of statistically-based landslide susceptibility models
10.1016/j.earscirev.2018.03.001 · 2018
Landslide susceptibility assessment at the Wuning area, China: a comparative between Multi-criteria decision making, bivariate statistical and machine learning methods
10.1007/s11069-018-3536-0 · 2019
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
10.1016/j.scitotenv.2019.02.263 · 2019
Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: a comparison between logistic regression and random forest
10.1016/j.enggeo.2020.105972 · 2021
Novel GIS based machine learning algorithms for shallow landslide susceptibility mapping
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Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: a case study in Jiuzhaigou region
10.1016/j.catena.2020.104851 · 2020
Impacts on watershed-scale runoff and sediment yield resulting from synergetic changes in climate and vegetation
10.1016/j.catena.2019.04.007 · 2019
Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
10.1016/j.rse.2014.05.013 · 2014
Analyzing the effects of tectonic and lithology on the occurrence of landslide along Zagros ophiolitic suture: a case study of Sarv-Abad, Kurdistan, Iran
10.1007/s10064-019-01639-3 · 2020
Comparative analysis for slope stability by using
2023
Using provincial baseline indicators to model geographic variations of disaster resilience in Thailand
10.1007/s11069-015-1886-4 · 2015
Building human resilience: the role of public health preparedness and response as an adaptation to climate change
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What is social resilience? Lessons learned and ways forward
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