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Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

https://doi.org/10.3390/rs12030502

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inferredcites →https://doi.org/10.1016/j.asr.2010.01.006openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/9781394346639.ch1openalex-snapshot

Introduction to Geospatial Intelligence and Precision Agriculture

inferred← citeshttps://doi.org/10.1002/eng2.70085openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/gj.4666openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/gj.4683openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/gj.4936openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-72588-4_10openalex-snapshot

Artificial Intelligence for Healthcare: Roles, Challenges, and Applications

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Cooperative Tracking Framework for Multiple Unmanned Aerial Vehicles (UAVs)

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inferred← citeshttps://doi.org/10.1007/s12524-025-02356-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s12594-023-2439-1openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s12665-024-11473-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s12665-024-11501-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s40515-026-00925-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s40789-024-00678-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s40789-026-00897-3openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s41064-025-00333-2openalex-snapshot

Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region

inferred← citeshttps://doi.org/10.1007/s42417-023-00954-0openalex-snapshot

Evaluating Stochastic Fundamental Natural Frequencies of Porous Functionally Graded Material Plate with Even Porosity Effect: A Multi-Machine Learning Approach

inferred← citeshttps://doi.org/10.1007/s44288-025-00285-5openalex-snapshot

Landslide susceptibility assessment in Zhenan county based on InSAR and integrated information value multi scale convolutional neural network

inferred← citeshttps://doi.org/10.1016/b978-0-443-22262-7.00002-3openalex-snapshot

Involvement of soil erosion processes in the development of landslides in the locality of Echiock (West Cameroon)

inferred← citeshttps://doi.org/10.1016/j.asr.2021.10.021openalex-snapshot

A multi-criteria landslide susceptibility mapping using deep multi-layer perceptron network: A case study of Srinagar-Rudraprayag region (India)

inferred← citeshttps://doi.org/10.1016/j.asr.2022.04.055openalex-snapshot

A comparative study of different neural network models for landslide susceptibility mapping

inferred← citeshttps://doi.org/10.1016/j.asr.2024.06.030openalex-snapshot

Scrutinizing gully erosion hotspots to predict gully erosion susceptibility using ensemble learning framework

inferred← citeshttps://doi.org/10.1016/j.asr.2024.11.052openalex-snapshot

Geospatial assessment and integrated multi-model approach for landslide susceptibility mapping in Meghalaya, India

inferred← citeshttps://doi.org/10.1016/j.cageo.2021.104860openalex-snapshot

Landslide susceptibility prediction based on image semantic segmentation

inferred← citeshttps://doi.org/10.1016/j.catena.2020.104580openalex-snapshot

Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping

inferred← citeshttps://doi.org/10.1016/j.catena.2021.105250openalex-snapshot

Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models

inferred← citeshttps://doi.org/10.1016/j.catena.2023.106940openalex-snapshot

An improved spatial case-based reasoning considering multiple spatial drivers of geographic events and its application in landslide susceptibility mapping

inferred← citeshttps://doi.org/10.1016/j.catena.2023.106946openalex-snapshot

Vegetation-landslide nexus and topographic changes post the 2004 Mw 6.6 Chuetsu earthquake

inferred← citeshttps://doi.org/10.1016/j.catena.2024.108668openalex-snapshot

Landslide susceptibility prediction in the loess tableland considering geomorphic evolution

inferred← citeshttps://doi.org/10.1016/j.catena.2026.110662openalex-snapshot

Geological control and mobility of typhoon gaemi-induced landslides in Zixing City, Hunan Province, China

inferred← citeshttps://doi.org/10.1016/j.compag.2022.106844openalex-snapshot

A comprehensive review of remote sensing platforms, sensors, and applications in nut crops

inferred← citeshttps://doi.org/10.1016/j.compgeo.2023.105675openalex-snapshot

Efficient adaptive reliability-based design optimization for geotechnical structures with multiple design parameters

inferred← citeshttps://doi.org/10.1016/j.earscirev.2024.104700openalex-snapshot

Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory

inferred← citeshttps://doi.org/10.1016/j.ecoenv.2025.118527openalex-snapshot

Ecological risk assessment of oilfield soil through the use of machine learning combining with spatial interaction effects

inferred← citeshttps://doi.org/10.1016/j.ecolind.2020.106966openalex-snapshot

Measuring the degree of hydrological variability of riparian wetland using hydrological attributes integration (HAI) histogram comparison approach (HCA) and range of variability approach (RVA)

inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.109968openalex-snapshot

Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model

inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.110364openalex-snapshot

Vulnerability assessment of the eco-geo-environment of mining cities in arid and semi-arid areas: A case study from Zhungeer, China

inferred← citeshttps://doi.org/10.1016/j.engfracmech.2023.109054openalex-snapshot

A deep CNN-based constitutive model for describing of statics characteristics of rock materials

inferred← citeshttps://doi.org/10.1016/j.enggeo.2023.107342openalex-snapshot

Landslide susceptibility assessment in multiple urban slope settings with a landslide inventory augmented by InSAR techniques

inferred← citeshttps://doi.org/10.1016/j.enggeo.2026.108753openalex-snapshot

Regional landslide susceptibility mapping of earthflows using deep neural networks: A case study in the southern Apennines, Italy

inferred← citeshttps://doi.org/10.1016/j.eqrea.2024.100329openalex-snapshot

Global research trends in seismic landslide: A bibliometric analysis

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130929openalex-snapshot

Spatial-temporal landslide susceptibility modeling in data-scarce areas: Utilizing recurrent neural networks and transfer learning

inferred← citeshttps://doi.org/10.1016/j.gr.2023.02.007openalex-snapshot

Uncertainty Analysis of Non-Landslide Sample Selection in Landslide Susceptibility Prediction Using Slope Unit-Based Machine Learning Models

inferred← citeshttps://doi.org/10.1016/j.gr.2024.02.006openalex-snapshot

Landslide spatial prediction using cluster analysis

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.gsf.2023.101619openalex-snapshot

An updating of landslide susceptibility prediction from the perspective of space and time

inferred← citeshttps://doi.org/10.1016/j.gsf.2023.101690openalex-snapshot

A graph deep learning method for landslide displacement prediction based on global navigation satellite system positioning

inferred← citeshttps://doi.org/10.1016/j.gsf.2024.101886openalex-snapshot

Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules

inferred← citeshttps://doi.org/10.1016/j.icee.2026.100007openalex-snapshot

Explainable AI uncovers key landslide drivers in northeastern Bangladesh

inferred← citeshttps://doi.org/10.1016/j.ijdrr.2025.105306openalex-snapshot

Enhancing evacuation shelter suitability in compound hazard-prone regions with a Bayesian optimized convolutional neural network approach

inferred← citeshttps://doi.org/10.1016/j.jag.2021.102508openalex-snapshot

A unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping

inferred← citeshttps://doi.org/10.1016/j.jag.2022.102713openalex-snapshot

A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping

inferred← citeshttps://doi.org/10.1016/j.jag.2022.102807openalex-snapshot

Meta-learning an intermediate representation for few-shot prediction of landslide susceptibility in large areas

inferred← citeshttps://doi.org/10.1016/j.jag.2025.104840openalex-snapshot

Geological hazard susceptibility assessment and forecasting analysis based on InSAR and C-L-A model

inferred← citeshttps://doi.org/10.1016/j.jclepro.2020.124159openalex-snapshot

Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China)

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129455openalex-snapshot

Mapping inundation extents in Poyang Lake area using Sentinel-1 data and transformer-based change detection method

inferred← citeshttps://doi.org/10.1016/j.jrmge.2022.07.009openalex-snapshot

Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

inferred← citeshttps://doi.org/10.1016/j.jrmge.2022.12.036openalex-snapshot

Displacement-based back analysis of mitigating the effects of displacement loss in underground engineering

inferred← citeshttps://doi.org/10.1016/j.jrmge.2023.03.001openalex-snapshot

Uncertainties of landslide susceptibility prediction considering different landslide types

inferred← citeshttps://doi.org/10.1016/j.jrmge.2024.02.001openalex-snapshot

Uncertainties in landslide susceptibility prediction: Influence rule of different levels of errors in landslide spatial position

inferred← citeshttps://doi.org/10.1016/j.rines.2026.100169openalex-snapshot

Landslide susceptibility assessment using weighted linear combination and InSAR with emphasis on tectonic influences: Insights from Salas Babajani County, western Iran

inferred← citeshttps://doi.org/10.1016/j.soildyn.2023.107994openalex-snapshot

Does machine learning adequately predict earthquake induced landslides?

inferred← citeshttps://doi.org/10.1029/2024ea003997openalex-snapshot

Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction

inferred← citeshttps://doi.org/10.1038/s41598-023-33186-zopenalex-snapshot

Comparative study on landslide susceptibility mapping based on unbalanced sample ratio

inferred← citeshttps://doi.org/10.1038/s41598-024-57964-5openalex-snapshot

Effects of non-landslide sampling strategies on machine learning models in landslide susceptibility mapping

inferred← citeshttps://doi.org/10.1038/s41598-025-34861-zopenalex-snapshot

Integrated analytical hierarchy process and neural network approaches for assessment of soil erosion risk in Manjira River sub-basin, India

inferred← citeshttps://doi.org/10.1038/s41598-025-91713-6openalex-snapshot

Evaluation of geological hazard susceptibility based on the multi-kernel density information method

inferred← citeshttps://doi.org/10.1038/s41598-026-43927-5openalex-snapshot

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model

inferred← citeshttps://doi.org/10.1038/s44304-024-00003-0openalex-snapshot

Intelligent assessment of building damage of 2023 Turkey-Syria Earthquake by multiple remote sensing approaches

inferred← citeshttps://doi.org/10.1061/ijgnai.gmeng-8234openalex-snapshot

Reliability Analyses of Soil Slopes with Multiple Spatially Varying Parameters Using Multi-Input Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1080/01969722.2023.2240647openalex-snapshot

Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning

inferred← citeshttps://doi.org/10.1080/02723646.2023.2250174openalex-snapshot

Assessment of landslide susceptibility using machine learning classifiers in Ziz upper watershed, SE Morocco

inferred← citeshttps://doi.org/10.1080/07038992.2020.1833186openalex-snapshot

Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods

inferred← citeshttps://doi.org/10.1080/10106049.2023.2172218openalex-snapshot

Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam

inferred← citeshttps://doi.org/10.1080/10106049.2023.2248082openalex-snapshot

Landslide susceptibility mapping in Badakhshan province, Afghanistan: a comparative study of machine learning algorithms

inferred← citeshttps://doi.org/10.1080/15481603.2024.2349343openalex-snapshot

Heterogeneous transfer learning considering feature representation and environmental consistency for landslide spatial prediction

inferred← citeshttps://doi.org/10.1080/17499518.2023.2222392openalex-snapshot

A networked risk perspective for analysing debris flow losses factors considering mitigation measures

inferred← citeshttps://doi.org/10.1080/17499518.2023.2283848openalex-snapshot

Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway

inferred← citeshttps://doi.org/10.1080/17499518.2025.2547363openalex-snapshot

Machine learning-integrated landslide susceptibility modelling addressing spatial correlation in grid-based environmental factors

inferred← citeshttps://doi.org/10.1080/17499518.2025.2590467openalex-snapshot

A fine evaluation of population density at slope scale in mountainous areas considering the spatial variation of environmental factors

inferred← citeshttps://doi.org/10.1080/17499518.2026.2674872openalex-snapshot

A Physico-Data TRIGRS model for county-scale shallow landslide dynamic hazard assessment

inferred← citeshttps://doi.org/10.1080/17538947.2023.2174192openalex-snapshot

A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models

inferred← citeshttps://doi.org/10.1080/17538947.2025.2536666openalex-snapshot

MAH-YOLO: an enhanced YOLOv8n framework for loess landslide detection with multi-attention mechanisms

inferred← citeshttps://doi.org/10.1080/19475705.2020.1734101openalex-snapshot

Collapse susceptibility assessment using a support vector machine compared with back-propagation and radial basis function neural networks

inferred← citeshttps://doi.org/10.1080/19475705.2021.1955018openalex-snapshot

A comparative evaluation of machine learning algorithms and an improved optimal model for landslide susceptibility: a case study

inferred← citeshttps://doi.org/10.1080/19475705.2021.1960433openalex-snapshot

Advanced data mining techniques for landslide susceptibility mapping

inferred← citeshttps://doi.org/10.1080/19475705.2022.2149356openalex-snapshot

Stability analysis of the reservoir bank landslide with weak interlayer considering the influence of multiple factors

inferred← citeshttps://doi.org/10.1080/19475705.2024.2344804openalex-snapshot

Multi-model combination in key steps for landslide susceptibility modeling and uncertainty analysis: a case study in Baoji City, China

inferred← citeshttps://doi.org/10.1080/19475705.2024.2378176openalex-snapshot

Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection

inferred← citeshttps://doi.org/10.1080/19475705.2024.2406302openalex-snapshot

Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory production

inferred← citeshttps://doi.org/10.1080/19475705.2026.2616638openalex-snapshot

Assessing landslide susceptibility with dynamic deformation monitoring and explainable machine learning: a case study in Longhua County, China

inferred← citeshttps://doi.org/10.1080/24749508.2024.2429205openalex-snapshot

A new landslide detection approach using the combination of the normalized difference moisture index and slope classification analysis

inferred← citeshttps://doi.org/10.1088/1742-6596/2377/1/012044openalex-snapshot

Subsurface Structure Analysis of Landslide Potential Areas Based on Electrical and Physical Properties of Soil

inferred← citeshttps://doi.org/10.1088/1755-1315/570/4/042049openalex-snapshot

Landslide Susceptibility Prediction Based on the Information Value-Logistic Regression Model and Geographic Information System

inferred← citeshttps://doi.org/10.1108/jal-08-2024-0202openalex-snapshot

Data mining for investigating knowledge creation in the evolution and advancement of accounting entry systems research over the last century

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/icdcece65353.2025.11034870openalex-snapshot

Slope Displacement Prediction and Risk Mitigation based on Artificial Intelligence Algorithm

inferred← citeshttps://doi.org/10.1109/igarss52108.2023.10283099openalex-snapshot

GIS-Based Landslide Susceptibility Analysis Using Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/jstars.2020.3014143openalex-snapshot

Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping

inferred← citeshttps://doi.org/10.1109/jstars.2023.3308041openalex-snapshot

Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3380199openalex-snapshot

Spatial–Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images

inferred← citeshttps://doi.org/10.1111/gec3.12563openalex-snapshot

Machine learning in geography–Past, present, and future

inferred← citeshttps://doi.org/10.1145/3774521.3774622openalex-snapshot

A Deep Learning Integrated Stacked Ensemble Framework for Futuristic Landslide Prediction using Multimodal Sensor Data

inferred← citeshttps://doi.org/10.1155/2021/8235108openalex-snapshot

A Mountain Summit Recognition Method Based on Improved Faster R‐CNN

inferred← citeshttps://doi.org/10.1155/2022/6921150openalex-snapshot

Study on Expansion Characteristics and Expansion Potential of Gypsum Rock

inferred← citeshttps://doi.org/10.1155/2023/2913890openalex-snapshot

Accuracy Improvement of Different Landslide Susceptibility Evaluation Models through K‐Means Clustering: A Case Study on China’s Funing County

inferred← citeshttps://doi.org/10.1155/2023/5525793openalex-snapshot

Improving the Landslide Susceptibility Prediction Accuracy by Using Genetic Algorithm Optimized Machine Learning Approach

inferred← citeshttps://doi.org/10.1177/11786221231195824openalex-snapshot

Landslide Modeling in a Tropical Mountain Basin Using Machine Learning Algorithms and Shapley Additive Explanations

inferred← citeshttps://doi.org/10.1177/87552930251377778openalex-snapshot

Multiclass post-earthquake building assessment integrating high-resolution optical and SAR satellite imagery, ground motion, and soil data with transformers

inferred← citeshttps://doi.org/10.1186/s40068-024-00382-3openalex-snapshot

Spatial assessment employing fusion logistic regression and frequency ratio models to monitor landslide susceptibility in the upper Blue Nile basin of Ethiopia: Muger watershed

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/10.13168/agg.2021.0021openalex-snapshot

Comparison of data-driven landslide susceptibility assessment using weight of evidence, information value, frequency ratio and certainly factor methods

inferred← citeshttps://doi.org/10.1371/journal.pone.0300586openalex-snapshot

A case study on soil slope landslide failure and parameter analysis of influencing factors for safety factor based on strength reduction method and orthogonal experimental design

inferred← citeshttps://doi.org/10.1515/geo-2022-0740openalex-snapshot

Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10289204/v1openalex-snapshot

Landslide Risk Assessment of Geological Hazards in Bengbu City Based on Hyperband-CatBoost and SHAP Interpretability Framework

inferred← citeshttps://doi.org/10.21203/rs.3.rs-194202/v1openalex-snapshot

Land Subsidence Spatial Modeling and Assessment of the Contribution of Geo-Environmental Factors to Land Subsidence: Comparison of Different Novel Ensemble Modeling Approaches

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2504623/v1openalex-snapshot

Analyzing the influence of mechanical root properties of commonly planted agroforestry trees on Mt. Elgon. A suitability assessment of the best eco-engineering tree species for shallow seated landslide control

inferred← citeshttps://doi.org/10.31466/kfbd.1446997openalex-snapshot

A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP

inferred← citeshttps://doi.org/10.31803/tg-20221006135311openalex-snapshot

Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management

inferred← citeshttps://doi.org/10.32802/asmscj.2023.1139openalex-snapshot

A Systematic Review of Neural Network Autoregressive Model with Exogenous Input for Solar Radiation Prediction Modelling Development

inferred← citeshttps://doi.org/10.3389/fbuil.2025.1630201openalex-snapshot

A hybrid VMD-LSTM-SVR model for landslide prediction

inferred← citeshttps://doi.org/10.3389/feart.2021.722491openalex-snapshot

Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China

inferred← citeshttps://doi.org/10.3389/feart.2021.731058openalex-snapshot

Uncertainties of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Effects of Different Machine Learning Models

inferred← citeshttps://doi.org/10.3389/feart.2021.781472openalex-snapshot

Landslide Susceptibility Zoning Using C5.0 Decision Tree, Random Forest, Support Vector Machine and Comparison of Their Performance in a Coal Mine Area

inferred← citeshttps://doi.org/10.3389/feart.2022.1025231openalex-snapshot

Study on the shock-absorbing effect of a new staggered story isolated structure under the long-period earthquake motion

inferred← citeshttps://doi.org/10.3389/feart.2022.1030417openalex-snapshot

Spatial distribution and tectonic significance of the landslides triggered by the 2021 Ms6.4 Yangbi earthquake, Yunnan, China

inferred← citeshttps://doi.org/10.3389/feart.2022.1033085openalex-snapshot

Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment

inferred← citeshttps://doi.org/10.3389/feart.2022.1064772openalex-snapshot

Tunneling construction technology of shafts and cross-passages under strictly controlling deformation of the existing railway

inferred← citeshttps://doi.org/10.3389/feart.2022.1069182openalex-snapshot

Study on triaxial test and constitutive prediction model of frozen silty clay

inferred← citeshttps://doi.org/10.3389/feart.2022.1071228openalex-snapshot

Adsorption mechanism of shell powders on heavy metal ions Pb2+/Cd2+ and the purification efficiency for contaminated soils

inferred← citeshttps://doi.org/10.3389/feart.2022.1075928openalex-snapshot

Study on the construction deformation of a slotted shield in loess tunnels with different buried depths and large sections

inferred← citeshttps://doi.org/10.3389/feart.2022.1085419openalex-snapshot

Overview of the application of ecological concrete in sponge city construction

inferred← citeshttps://doi.org/10.3389/feart.2022.1098711openalex-snapshot

Seismic response of a mid-story-isolated structure considering soil–Structure interaction in sloping ground under three-dimensional earthquakes

inferred← citeshttps://doi.org/10.3389/feart.2022.1102748openalex-snapshot

Study on the permeability coefficient model of salinized frozen soil based on unfrozen water content curve

inferred← citeshttps://doi.org/10.3389/feart.2022.1107252openalex-snapshot

Strength model of a cemented body based on self-compacting characteristics of tailings

inferred← citeshttps://doi.org/10.3389/feart.2022.918386openalex-snapshot

Landslide Susceptibility Prediction Based on Frequency Ratio Method and C5.0 Decision Tree Model

inferred← citeshttps://doi.org/10.3389/feart.2023.1098872openalex-snapshot

Slope stability prediction based on adaptive CE factor quantum behaved particle swarm optimization-least-square support vector machine

inferred← citeshttps://doi.org/10.3389/feart.2023.1106872openalex-snapshot

Study on the corrosion resistance of composite modified anti-corrosion mortar under the action of bio-organic water

inferred← citeshttps://doi.org/10.3389/feart.2023.1115235openalex-snapshot

Study on the seismic response of new staggered story isolated structure under different parameters

inferred← citeshttps://doi.org/10.3389/feart.2023.1117004openalex-snapshot

Modeling rules of regional flash flood susceptibility prediction using different machine learning models

inferred← citeshttps://doi.org/10.3389/feart.2023.1117199openalex-snapshot

Mechanisms of air breakdowns for aluminum conductors steel reinforced wire-wire gaps induced by propane jet flames

inferred← citeshttps://doi.org/10.3389/feart.2023.1118160openalex-snapshot

Application of different watershed units to debris flow susceptibility mapping: A case study of Northeast China

inferred← citeshttps://doi.org/10.3389/feart.2023.1121181openalex-snapshot

Reliability analysis of an inter-story isolated structure under a main-aftershock sequence based on the Laplace asymptotic method

inferred← citeshttps://doi.org/10.3389/feart.2023.1130070openalex-snapshot

Machine learning brings new insights for reducing salinization disaster

inferred← citeshttps://doi.org/10.3389/feart.2023.1158216openalex-snapshot

The deformation evolution law and stability evaluation of the high-filled slope in the cutting hills to backfill ditches project

inferred← citeshttps://doi.org/10.3389/feart.2023.1207110openalex-snapshot

Research on irregular plane mid story isolation structures in castor earthquake prone areas considering SSI effect

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