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A data‐driven intelligent model for landslide displacement prediction
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Landslide Hazard and Risk: Issues, Concepts and Approach
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A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states
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Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model
inferredcites →https://doi.org/10.1007/s10064-019-01598-9openalex-snapshot
Using a kernel extreme learning machine with grey wolf optimization to predict the displacement of step-like landslide
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A new self-starting drainage method for slope stabilization and its application
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A practical reliability assessment approach and its application for pile-stabilized slopes using FORM and support vector machine
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Forecasting reservoir-induced landslide deformation using genetic algorithm enhanced multivariate Taylor series Kalman filter
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SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
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Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors
inferredcites →https://doi.org/10.1007/s10346-017-0804-0openalex-snapshot
Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5.0 and two-step cluster algorithms: a case study in the Three Gorges Reservoir area, China
inferredcites →https://doi.org/10.1007/s10346-017-0883-yopenalex-snapshot
Prediction of landslide displacement with step-like behavior based on multialgorithm optimization and a support vector regression model
inferredcites →https://doi.org/10.1007/s10346-017-0941-5openalex-snapshot
Probabilistic forecasting of landslide displacement accounting for epistemic uncertainty: a case study in the Three Gorges Reservoir area, China
inferredcites →https://doi.org/10.1007/s10346-018-01127-xopenalex-snapshot
Time series analysis and long short-term memory neural network to predict landslide displacement
inferredcites →https://doi.org/10.1007/s10346-018-1022-0openalex-snapshot
Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method
inferredcites →https://doi.org/10.1007/s10346-019-01269-6openalex-snapshot
Successful early warning and emergency response of a disastrous rockslide in Guizhou province, China
inferredcites →https://doi.org/10.1007/s10346-019-01312-6openalex-snapshot
Modeling and predicting reservoir landslide displacement with deep belief network and EWMA control charts: a case study in Three Gorges Reservoir
inferredcites →https://doi.org/10.1007/s10346-020-01426-2openalex-snapshot
PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect
inferredcites →https://doi.org/10.1007/s10346-021-01698-2openalex-snapshot
Mechanism analysis and partition characteristics of a recent highway landslide in Southwest China based on a 3D multi-point deformation monitoring system
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A siphon drainage method for stabilizing bank slopes under water drawdown condition
inferredcites →https://doi.org/10.1007/s11069-021-04655-3openalex-snapshot
Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area
inferredcites →https://doi.org/10.1007/s11069-021-05102-zopenalex-snapshot
Cause investigation of ground sliding during tunneling in sloping and stratified stratum
inferredcites →https://doi.org/10.1007/s11440-022-01455-2openalex-snapshot
Interval prediction of landslide displacement with dual-output least squares support vector machine and particle swarm optimization algorithms
inferredcites →https://doi.org/10.1007/s11440-022-01495-8openalex-snapshot
Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
inferredcites →https://doi.org/10.1007/s11629-020-6202-4openalex-snapshot
Robust design of self-starting drains using Random Forest
inferredcites →https://doi.org/10.1007/s12517-020-05306-wopenalex-snapshot
Deforming tendency prediction study on typical accumulation landslide with step-like displacements in the Three Gorges Reservoir, China
inferredcites →https://doi.org/10.1007/s12583-020-1331-9openalex-snapshot
A Predictive, Two-Parameter Model for the Movement of Reservoir Landslides
inferredcites →https://doi.org/10.1007/s12665-015-5022-2openalex-snapshot
Application of a two-step cluster analysis and the Apriori algorithm to classify the deformation states of two typical colluvial landslides in the Three Gorges, China
inferredcites →https://doi.org/10.1007/s12665-016-6133-0openalex-snapshot
Landslide displacement prediction using discrete wavelet transform and extreme learning machine based on chaos theory
inferredcites →https://doi.org/10.1007/s12665-022-10317-9openalex-snapshot
Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter
inferredcites →https://doi.org/10.1016/j.artint.2022.103667openalex-snapshot
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
inferredcites →https://doi.org/10.1016/j.cageo.2014.03.014openalex-snapshot
A new approach for semi-automatic rock mass joints recognition from 3D point clouds
inferredcites →https://doi.org/10.1016/j.cageo.2017.10.013openalex-snapshot
Displacement prediction of Baijiabao landslide based on empirical mode decomposition and long short-term memory neural network in Three Gorges area, China
inferredcites →https://doi.org/10.1016/j.cageo.2020.104527openalex-snapshot
A hybrid prediction model of landslide displacement with risk-averse adaptation
inferredcites →https://doi.org/10.1016/j.cmpb.2014.01.004openalex-snapshot
A new hybrid intelligent system for accurate detection of Parkinson's disease
inferredcites →https://doi.org/10.1016/j.compgeo.2021.104498openalex-snapshot
Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review
inferredcites →https://doi.org/10.1016/j.engfailanal.2022.106156openalex-snapshot
Determining the cause of tunnel damages during tunneling in silty clay
inferredcites →https://doi.org/10.1016/j.enggeo.2017.01.016openalex-snapshot
Landslide displacement prediction based on multivariate chaotic model and extreme learning machine
inferredcites →https://doi.org/10.1016/j.enggeo.2017.01.022openalex-snapshot
Comparison of two optimized machine learning models for predicting displacement of rainfall-induced landslide: A case study in Sichuan Province, China
inferredcites →https://doi.org/10.1016/j.enggeo.2019.105267openalex-snapshot
Geohazards in the three Gorges Reservoir Area, China – Lessons learned from decades of research
inferredcites →https://doi.org/10.1016/j.enggeo.2020.105817openalex-snapshot
Successful implementations of a real-time and intelligent early warning system for loess landslides on the Heifangtai terrace, China
inferredcites →https://doi.org/10.1016/j.enggeo.2020.105876openalex-snapshot
Prediction of landslide sharp increase displacement by SVM with considering hysteresis of groundwater change
inferredcites →https://doi.org/10.1016/j.enggeo.2020.105961openalex-snapshot
Evolution characteristics and displacement forecasting model of landslides with stair-step sliding surface along the Xiangxi River, three Gorges Reservoir region, China
inferredcites →https://doi.org/10.1016/j.enggeo.2020.105975openalex-snapshot
Landslide displacement prediction using kinematics-based random forests method: A case study in Jinping Reservoir Area, China
inferredcites →https://doi.org/10.1016/j.enggeo.2021.106172openalex-snapshot
UAV photogrammetry-based remote sensing and preliminary assessment of the behavior of a landslide in Guizhou, China
inferredcites →https://doi.org/10.1016/j.enggeo.2021.106315openalex-snapshot
Machine learning prediction of landslide deformation behaviour using acoustic emission and rainfall measurements
inferredcites →https://doi.org/10.1016/j.enggeo.2021.106494openalex-snapshot
A multi-feature fusion transfer learning method for displacement prediction of rainfall reservoir-induced landslide with step-like deformation characteristics
inferredcites →https://doi.org/10.1016/j.enggeo.2022.106544openalex-snapshot
A comparative study of different machine learning methods for reservoir landslide displacement prediction
inferredcites →https://doi.org/10.1016/j.geomorph.2019.06.024openalex-snapshot
Spatiotemporal deformation characteristics and triggering factors of Baijiabao landslide in Three Gorges Reservoir region, China
inferredcites →https://doi.org/10.1016/j.gr.2022.06.011openalex-snapshot
Prediction of wall deflection induced by braced excavation in spatially variable soils via convolutional neural network
inferredcites →https://doi.org/10.1016/j.gr.2022.10.004openalex-snapshot
Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms
inferredcites →https://doi.org/10.1016/j.gsf.2020.05.010openalex-snapshot
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
inferredcites →https://doi.org/10.1016/j.gsf.2020.09.004openalex-snapshot
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
inferredcites →https://doi.org/10.1016/j.jclepro.2020.122248openalex-snapshot
Prediction model oriented for landslide displacement with step-like curve by applying ensemble empirical mode decomposition and the PSO-ELM method
inferredcites →https://doi.org/10.1016/j.jclepro.2021.126205openalex-snapshot
Combined forecasting model with CEEMD-LCSS reconstruction and the ABC-SVR method for landslide displacement prediction
inferredcites →https://doi.org/10.1016/j.jhydrol.2020.124894openalex-snapshot
Comparison of a physical model and phenomenological model to forecast groundwater levels in a rainfall-induced deep-seated landslide
inferredcites →https://doi.org/10.1016/j.jhydrol.2021.126305openalex-snapshot
A siphon drainage system with variable diameters for landslides: Concept, calculation, and validation
inferredcites →https://doi.org/10.1016/j.jrmge.2021.12.011openalex-snapshot
Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China
inferredcites →https://doi.org/10.1016/j.neucom.2018.02.046openalex-snapshot
Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched
inferredcites →https://doi.org/10.1016/s0169-7439(01)00111-3openalex-snapshot
Looking for natural patterns in data
inferredcites →https://doi.org/10.1080/17499518.2021.1892769openalex-snapshot
A novel approach for displacement interval forecasting of landslides with step-like displacement pattern
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Interval Estimation of Landslide Displacement Prediction Based on Time Series Decomposition and Long Short-Term Memory Network
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Algorithms for intelligent prediction of landslide displacements
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Postwar U.S. Business Cycles: An Empirical Investigation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A New Method for Landslide Failure-Time Prediction Based on Bayesian Optimized Saito Model and Machine Learning
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Integrated early warning method for landslide acceleration and expansion based on GB‐InSAR monitoring
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Spatio-Temporal Deformation Prediction of Large Landslides in the Three Gorges Reservoir Area Based on Time-Series Graph Convolutional Network Model
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