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Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
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Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Scale Coupling Enables More Detailed Mapping of Landslide Susceptibility
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Optimizing landslide susceptibility mapping using integrated forest by penalizing attributes model with ensemble algorithms
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Landslide susceptibility investigation for Idukki district of Kerala using regression analysis and machine learning
inferred← citeshttps://doi.org/10.1007/s12517-022-09488-3openalex-snapshot
Improved tree-based machine learning algorithms combining with bagging strategy for landslide susceptibility modeling
inferred← citeshttps://doi.org/10.1007/s12517-022-10869-xopenalex-snapshot
Landslide susceptibility, social vulnerability, and risk assessment in Kumaun Himalaya, Uttarakhand, India
inferred← citeshttps://doi.org/10.1007/s12517-022-11032-2openalex-snapshot
Spatial autocorrelation modeling to assess geohazard susceptibility assessment in the mountainous Shennongjia area of China
inferred← citeshttps://doi.org/10.1007/s12518-021-00393-0openalex-snapshot
A comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping
inferred← citeshttps://doi.org/10.1007/s12524-024-01953-8openalex-snapshot
Creation of a Landslide Inventory for the 2018 Storm Event of Kodagu in the Western Ghats for Landslide Susceptibility Mapping Using Machine Learning
inferred← citeshttps://doi.org/10.1007/s12665-021-09711-6openalex-snapshot
Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas
inferred← citeshttps://doi.org/10.1007/s12665-022-10534-2openalex-snapshot
The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping
inferred← citeshttps://doi.org/10.1007/s12665-023-11280-9openalex-snapshot
Predicting hydrological droughts using ERA 5 reanalysis data and wavelet-based soft computing techniques
inferred← citeshttps://doi.org/10.1007/s12665-025-12437-4openalex-snapshot
A novel approach for rockfall susceptibility mapping: Transfer learning between boosting models and logistic regression
inferred← citeshttps://doi.org/10.1007/s13369-021-05764-8openalex-snapshot
Influence of Dilatancy Behavior on the Numerical Modeling and Prediction of Slope Stability of Stabilized Expansive Soil Slope
inferred← citeshttps://doi.org/10.1007/s13762-022-04714-7openalex-snapshot
Soil erosion and landslide susceptibility insights based on hierarchical clustering and multilayer perceptron networks: a Nigerian case study
inferred← citeshttps://doi.org/10.1007/s40808-025-02578-7openalex-snapshot
Landslide susceptibility mapping in Lesalso (Laelay Maichew), Northern Ethiopia: a GIS approach using frequency ratio and analytical hierarchy process methods
inferred← citeshttps://doi.org/10.1007/s41066-023-00416-8openalex-snapshot
A new intuitionistic fuzzy time series method based on the bagging of decision trees and principal component analysis
inferred← citeshttps://doi.org/10.1007/s41748-024-00484-zopenalex-snapshot
Advanced Bivariate Geostatistical Modeling for High-Resolution Landslide Susceptibility Zonation for Effective Risk Management in the Northwestern Himalaya, India
inferred← citeshttps://doi.org/10.1007/s42461-025-01271-8openalex-snapshot
Assessing the Efficacy of Ensemble Learning Techniques to Slope Stability Classification in Mining Operations
inferred← citeshttps://doi.org/10.1007/s42979-023-01960-5openalex-snapshot
Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping Using TreeSHAP
inferred← citeshttps://doi.org/10.1007/s43538-023-00171-zopenalex-snapshot
Landslide susceptibility prediction using frequency ratio model: a case study of Uttarakhand, Himalaya (India)
inferred← citeshttps://doi.org/10.1007/s43538-026-00815-wopenalex-snapshot
Geospatial modelling of landslide susceptibility using modified frequency ratio, weight of evidence, and shannon entropy: a case study in Dima Hasao district of Northeast India
inferred← citeshttps://doi.org/10.1016/b978-0-323-89861-4.00026-9openalex-snapshot
Landslide spatial modeling using a bivariate statistical method in Kermanshah Province, Iran
inferred← citeshttps://doi.org/10.1016/b978-0-323-91166-5.00015-xopenalex-snapshot
The role of satellite remote sensing in natural disaster management
inferred← citeshttps://doi.org/10.1016/j.advengsoft.2022.103251openalex-snapshot
ML models and neural networks for analyzing 3D data spatial planning tasks: Example of Khasansky urban district of the Russian Federation
inferred← citeshttps://doi.org/10.1016/j.asr.2020.05.016openalex-snapshot
GIS-based ensemble soft computing models for landslide susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.asr.2025.06.074openalex-snapshot
Landslide susceptible zonation mapping of Sikkim using deterministic and machine learning approach
inferred← citeshttps://doi.org/10.1016/j.catena.2020.104777openalex-snapshot
GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
inferred← citeshttps://doi.org/10.1016/j.catena.2020.104805openalex-snapshot
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.catena.2021.105317openalex-snapshot
Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques
inferred← citeshttps://doi.org/10.1016/j.ejrh.2021.100825openalex-snapshot
Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
inferred← citeshttps://doi.org/10.1016/j.envpol.2020.114517openalex-snapshot
Particulate matter concentration from open-cut coal mines: A hybrid machine learning estimation
inferred← citeshttps://doi.org/10.1016/j.eqrea.2023.100269openalex-snapshot
Application of oblique photogrammetry technique in geological hazard identification and decision management
inferred← citeshttps://doi.org/10.1016/j.foreco.2023.121288openalex-snapshot
Assessing landslide susceptibility using combination models
inferred← citeshttps://doi.org/10.1016/j.geodrs.2021.e00424openalex-snapshot
Salinity intrusion prediction using remote sensing and machine learning in data-limited regions: A case study in Vietnam's Mekong Delta
inferred← citeshttps://doi.org/10.1016/j.geogeo.2025.100354openalex-snapshot
Predicting urban landslides in the hilly regions of Bangladesh leveraging a hybrid machine learning model and CMIP6 climate projections
inferred← citeshttps://doi.org/10.1016/j.gsf.2020.03.005openalex-snapshot
Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
inferred← citeshttps://doi.org/10.1016/j.gsf.2020.07.012openalex-snapshot
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
inferred← citeshttps://doi.org/10.1016/j.gsf.2020.11.003openalex-snapshot
Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques
inferred← citeshttps://doi.org/10.1016/j.gsf.2021.101249openalex-snapshot
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
inferred← citeshttps://doi.org/10.1016/j.ijsrc.2022.04.003openalex-snapshot
Hybrid meta-heuristic machine learning methods applied to landslide susceptibility mapping in the Sahel-Algiers
inferred← citeshttps://doi.org/10.1016/j.jclepro.2024.142289openalex-snapshot
Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change
inferred← citeshttps://doi.org/10.1016/j.jenvman.2020.110956openalex-snapshot
Modelling water richness and habitat suitability of the wetlands and measuring their spatial linkages in mature Ganges delta of India
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.124379openalex-snapshot
Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125615openalex-snapshot
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125815openalex-snapshot
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126500openalex-snapshot
GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam
inferred← citeshttps://doi.org/10.1016/j.kjs.2026.100592openalex-snapshot
A framework for safer land use planning: Integrating RS-GIS and bivariate-MCDM for landslide susceptibility modeling in the Western Himalayan region of Himachal Pradesh, India
inferred← citeshttps://doi.org/10.1016/j.nhres.2023.05.004openalex-snapshot
GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
inferred← citeshttps://doi.org/10.1016/j.qsa.2023.100141openalex-snapshot
Earth observation data and GIS based landslide susceptibility analysis through frequency ratio model in lesser Himalayan region, India
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.137231openalex-snapshot
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.141565openalex-snapshot
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.173802openalex-snapshot
Effect of channel morphological changes on wetland transformation
inferred← citeshttps://doi.org/10.1038/s41598-021-94190-9openalex-snapshot
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)
inferred← citeshttps://doi.org/10.1038/s41598-025-30136-9openalex-snapshot
Optimizing machine learning and bagging-based hybrid models for landslide susceptibility mapping: a case study in Chenggu County, China
inferred← citeshttps://doi.org/10.1061/jhyeff.heeng-5920openalex-snapshot
Runoff Predictions in a Semiarid Watershed by Convolutional Neural Networks Improved with Metaheuristic Algorithms and Forced with Reanalysis and Climate Data
inferred← citeshttps://doi.org/10.1061/nhrefo.nheng-1716openalex-snapshot
Flood Hazards Mapping by Linking CF, AHP, and Fuzzy Logic Techniques in Urban Areas
inferred← citeshttps://doi.org/10.1063/5.0176988openalex-snapshot
Performance evaluation of landslide monitoring system using logistic regression and novel criteria based decision trees
inferred← citeshttps://doi.org/10.1080/10106049.2019.1665715openalex-snapshot
Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
inferred← citeshttps://doi.org/10.1080/10106049.2020.1737972openalex-snapshot
Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers
inferred← citeshttps://doi.org/10.1080/10106049.2020.1778105openalex-snapshot
Application of geographically weighted principal component analysis and fuzzy approach for unsupervised landslide susceptibility mapping on Gish River Basin, India
inferred← citeshttps://doi.org/10.1080/10106049.2020.1837262openalex-snapshot
Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier
inferred← citeshttps://doi.org/10.1080/10106049.2021.1912195openalex-snapshot
Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models
inferred← citeshttps://doi.org/10.1080/10106049.2021.1914746openalex-snapshot
Landslide susceptibility mapping using state-of-the-art machine learning ensembles
inferred← citeshttps://doi.org/10.1080/10106049.2021.2009921openalex-snapshot
Current and future projections of flood risk dynamics under seasonal precipitation regimes in the Hyrcanian Forest region
inferred← citeshttps://doi.org/10.1080/10106049.2022.2087751openalex-snapshot
Comparing the prediction performance of logistic model tree with different ensemble techniques in susceptibility assessments of different landslide types
inferred← citeshttps://doi.org/10.1080/10106049.2022.2134464openalex-snapshot
Application of novel framework approach for assessing rainfall induced future landslide hazard to world heritage sites in Indo-Nepal-Bhutan Himalayan region
inferred← citeshttps://doi.org/10.1080/10106049.2023.2186494openalex-snapshot
An artificial intelligence based framework to analyze the landside risk of a mountainous highway
inferred← citeshttps://doi.org/10.1080/10106049.2024.2322066openalex-snapshot
A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction
inferred← citeshttps://doi.org/10.1080/17538947.2020.1860145openalex-snapshot
Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides
inferred← citeshttps://doi.org/10.1080/17538947.2026.2628476openalex-snapshot
DFG-Net: a dual-stream frequency-guided network for landslide semantic segmentation from remote sensing imagery
inferred← citeshttps://doi.org/10.1080/19475683.2022.2040587openalex-snapshot
GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya
inferred← citeshttps://doi.org/10.1080/20964471.2022.2043520openalex-snapshot
A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area
inferred← citeshttps://doi.org/10.1080/2150704x.2020.1716409openalex-snapshot
An optimal search for neural network parameters using the Salp swarm optimization algorithm: a landslide application
inferred← citeshttps://doi.org/10.1080/24751839.2022.2062918openalex-snapshot
COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity
inferred← citeshttps://doi.org/10.1088/2632-2153/ad5f17openalex-snapshot
CResU-Net: a method for landslide mapping using deep learning
inferred← citeshttps://doi.org/10.1109/access.2022.3158328openalex-snapshot
Predicting and Understanding Landslide Events With Explainable AI
inferred← citeshttps://doi.org/10.1109/iccmc65190.2025.11140991openalex-snapshot
An Integrated Approach for Landslide Susceptibility Prediction using Decision Tree and Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1109/icicv50876.2021.9388379openalex-snapshot
A Study of Landslide Susceptibility Mapping using Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/isc253183.2021.9562839openalex-snapshot
Feasibility study for detecting shallow landslides using IoT devices in smart cities
inferred← citeshttps://doi.org/10.1109/jiot.2023.3326203openalex-snapshot
Bidirectional LSTM Model for Accurate and Real-Time Landslide Detection: A Case Study in Mawiongrim, Meghalaya, India
inferred← citeshttps://doi.org/10.1109/jstars.2021.3066378openalex-snapshot
Landslide Susceptibility Mapping Using Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong
inferred← citeshttps://doi.org/10.1111/gwat.13094openalex-snapshot
Groundwater Potential Mapping Using GIS ‐Based Hybrid Artificial Intelligence Methods
inferred← citeshttps://doi.org/10.1111/tgis.13023openalex-snapshot
Hyper‐parameter optimization of gradient boosters for flood susceptibility analysis
inferred← citeshttps://doi.org/10.1111/tgis.13091openalex-snapshot
Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
inferred← citeshttps://doi.org/10.1155/2020/4310791openalex-snapshot
Improving Voting Feature Intervals for Spatial Prediction of Landslides
inferred← citeshttps://doi.org/10.1155/2021/4832864openalex-snapshot
Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
inferred← citeshttps://doi.org/10.1155/2021/9934732openalex-snapshot
Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India
inferred← citeshttps://doi.org/10.11606/d.3.2022.tde-11052022-103227openalex-snapshot
Uso de redes neurais artificiais na elaboração de mapas de suscetibilidade para escorregamentos planares rasos.
inferred← citeshttps://doi.org/10.1186/s40562-022-00218-xopenalex-snapshot
Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms
inferred← citeshttps://doi.org/10.1515/arh-2022-0122openalex-snapshot
GIS-based landslide susceptibility mapping using frequency ratio and index of entropy models for She County of Anhui Province, China
inferred← citeshttps://doi.org/10.17268/sci.agropecu.2024.025openalex-snapshot
Influence of high Andean grasslands on landslide reduction in Peru
inferred← citeshttps://doi.org/10.17491/jgsi/2024/173894openalex-snapshot
Landslide Inventorization and Susceptibility Mapping in the SemiArid Kargil-Ladakh Region of Northwestern Himalaya
inferred← citeshttps://doi.org/10.17491/jgsi/2025/174103openalex-snapshot
Machine Learning-assisted Investigation of Landslide Susceptibility for Aglar Watershed in the Lesser Himalaya Region
inferred← citeshttps://doi.org/10.18517/ijaseit.12.1.14737openalex-snapshot
Evaluation of Parameter Selection in the Bivariate Statistical-based Landslide Susceptibility Modeling (Case Study: the Citarik Sub-watershed, Indonesia)
inferred← citeshttps://doi.org/10.32604/iasc.2021.017714openalex-snapshot
A Rock-fall Early Warning System Based on Logistic Regression Model
inferred← citeshttps://doi.org/10.3389/feart.2021.701837openalex-snapshot
Determining the Geotechnical Slope Failure Factors via Ensemble and Individual Machine Learning Techniques: A Case Study in Mandi, India
inferred← citeshttps://doi.org/10.3389/feart.2024.1419421openalex-snapshot
A comparative study of regional rainfall-induced landslide early warning models based on RF、CNN and MLP algorithms
inferred← citeshttps://doi.org/10.3389/fenvs.2023.1176547openalex-snapshot
Vulnerability and risk assessment mapping of Bhitarkanika national park, Odisha, India using machine-based embedded decision support system
inferred← citeshttps://doi.org/10.3390/app10062039openalex-snapshot
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
inferred← citeshttps://doi.org/10.3390/app10072466openalex-snapshot
Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
inferred← citeshttps://doi.org/10.3390/app10072469openalex-snapshot
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
inferred← citeshttps://doi.org/10.3390/app10155047openalex-snapshot
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
inferred← citeshttps://doi.org/10.3390/app10228189openalex-snapshot
Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon
inferred← citeshttps://doi.org/10.3390/app9183755openalex-snapshot
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
inferred← citeshttps://doi.org/10.3390/app9214715openalex-snapshot
Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction
inferred← citeshttps://doi.org/10.3390/f11040421openalex-snapshot
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
inferred← citeshttps://doi.org/10.3390/f11080830openalex-snapshot
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
inferred← citeshttps://doi.org/10.3390/geohazards7030093openalex-snapshot
Segment-Based Landslide Susceptibility Along Mountainous Road Corridors: Validating Random Forest Model with SLAM LiDAR in Northeastern Iraq
inferred← citeshttps://doi.org/10.3390/geosciences14060168openalex-snapshot
A Comparative Study of Susceptibility and Hazard for Mass Movements Applying Quantitative Machine Learning Techniques—Case Study: Northern Lima Commonwealth, Peru
inferred← citeshttps://doi.org/10.3390/geosciences15120468openalex-snapshot
Mass Movement Risk Assessment in the Loess Hilly Region of Northwest China Using a Weighted Information Theoretic Framework
inferred← citeshttps://doi.org/10.3390/ijerph17072473openalex-snapshot
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
inferred← citeshttps://doi.org/10.3390/ijerph17082749openalex-snapshot
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
inferred← citeshttps://doi.org/10.3390/ijerph17114147openalex-snapshot
Rainfall-Induced Landslide Prediction Using Machine Learning Models: The Case of Ngororero District, Rwanda
inferred← citeshttps://doi.org/10.3390/ijerph17144933openalex-snapshot
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
inferred← citeshttps://doi.org/10.3390/ijgi11060324openalex-snapshot
Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study
inferred← citeshttps://doi.org/10.3390/land13060889openalex-snapshot
Advancing Landslide Susceptibility Mapping in the Medea Region Using a Hybrid Metaheuristic ANFIS Approach
inferred← citeshttps://doi.org/10.3390/land13122110openalex-snapshot
Performance Assessment of Individual and Ensemble Learning Models for Gully Erosion Susceptibility Mapping in a Mountainous and Semi-Arid Region
inferred← citeshttps://doi.org/10.3390/ma15186385openalex-snapshot
Prediction of Undrained Shear Strength by the GMDH-Type Neural Network Using SPT-Value and Soil Physical Properties
inferred← citeshttps://doi.org/10.3390/rs12010140openalex-snapshot
Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment
inferred← citeshttps://doi.org/10.3390/rs12020266openalex-snapshot
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
inferred← citeshttps://doi.org/10.3390/rs12030475openalex-snapshot
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
inferred← citeshttps://doi.org/10.3390/rs12050752openalex-snapshot
Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning
inferred← citeshttps://doi.org/10.3390/rs12203389openalex-snapshot
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility
inferred← citeshttps://doi.org/10.3390/rs12213620openalex-snapshot
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment
inferred← citeshttps://doi.org/10.3390/rs13244966openalex-snapshot
Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility
inferred← citeshttps://doi.org/10.3390/rs14040894openalex-snapshot
Estimating the Pre-Historical Volcanic Eruption in the Hantangang River Volcanic Field: Experimental and Simulation Study
inferred← citeshttps://doi.org/10.3390/rs14112717openalex-snapshot
Evaluation and Prediction of Landslide Susceptibility in Yichang Section of Yangtze River Basin Based on Integrated Deep Learning Algorithm
inferred← citeshttps://doi.org/10.3390/rs15204952openalex-snapshot
Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China
inferred← citeshttps://doi.org/10.3390/rs16060988openalex-snapshot
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
inferred← citeshttps://doi.org/10.3390/s23052549openalex-snapshot
Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China
inferred← citeshttps://doi.org/10.3390/su11247118openalex-snapshot
GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam
inferred← citeshttps://doi.org/10.3390/su12062390openalex-snapshot
Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations
inferred← citeshttps://doi.org/10.3390/su12072622openalex-snapshot
Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling
inferred← citeshttps://doi.org/10.3390/su12083269openalex-snapshot
Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods
inferred← citeshttps://doi.org/10.3390/su13020630openalex-snapshot
GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria
inferred← citeshttps://doi.org/10.3390/su142416716openalex-snapshot
Assessment of Landslide Susceptibility Using Different Machine Learning Methods in Longnan City, China
inferred← citeshttps://doi.org/10.3390/su15076205openalex-snapshot
An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping
inferred← citeshttps://doi.org/10.3390/su16010245openalex-snapshot
Comparative Study of Deep Neural Networks for Landslide Susceptibility Assessment: A Case Study of Pyeongchang-gun, South Korea
inferred← citeshttps://doi.org/10.3390/w11102013openalex-snapshot
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
inferred← citeshttps://doi.org/10.3390/w11122609openalex-snapshot
Landslide Susceptibility Based on Extreme Rainfall-Induced Landslide Inventories and the Following Landslide Evolution
inferred← citeshttps://doi.org/10.3390/w12010239openalex-snapshot
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
inferred← citeshttps://doi.org/10.3390/w12030683openalex-snapshot
GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
inferred← citeshttps://doi.org/10.3390/w12040985openalex-snapshot
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
inferred← citeshttps://doi.org/10.4236/ojsst.2022.124010openalex-snapshot
Particle Swarm Optimization Based Fire Risk Valuation Model: Shopping-Mall
inferred← citeshttps://doi.org/10.46453/jader.1883674openalex-snapshot
Akçasu Dere Havzası’nda (İnegöl, Bursa) Heyelan Duyarlılığının Makine Öğrenmesi Modelleri ile Karşılaştırmalı Analizi
inferred← citeshttps://doi.org/10.5194/nhess-25-119-2025openalex-snapshot
Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer
inferred← citeshttps://doi.org/10.56294/dm2024.419openalex-snapshot
Advanced Landslide Detection Using Machine Learning and Remote Sensing Data
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