Works matching DE "LANDSLIDE prediction"
Results: 905
基于变权重组合预测模型的堆积层滑坡稳定性评价分析.
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- Fly Ash Comprehensive Utilization, 2023, v. 37, n. 4, p. 134, doi. 10.19860/j.cnki.issn1005-8249.2023.04.022
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Comparative Analysis of Neural Network, Support Vector Machine, and Random Forest Models for Accurate Landslide Classification: A Robustness and Trade-off Perspective.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 3, p. 2384
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Design of Fractional Verhulst Model for Displacement Prediction of Landslide Based on the Optimization of Beetle Antennae Search Algorithm.
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- Information Technology & Control, 2023, v. 52, n. 4, p. 849, doi. 10.5755/j01.itc.52.4.33712
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- Article
滑坡蠕变与遥感影像上植被异常关系.
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- Journal of Remote Sensing, 2020, v. 24, n. 6, p. 776, doi. 10.11834/jrs.20208330
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- Article
Assessment of Climate Change Impact on Sediment Runoff and Sediment-Related Hazards Employing Integrated Simulation of Sediment Production and Runoff.
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- Japanese Journal of Multiphase Flow, 2023, v. 37, n. 4, p. 376
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- Article
Exploring time series models for landslide prediction: a literature review.
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- Geoenvironmental Disasters, 2024, v. 11, n. 1, p. 1, doi. 10.1186/s40677-024-00288-3
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Development of a methodology for predicting landslide hazards at a regional scale.
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- Geoenvironmental Disasters, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40677-022-00231-4
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Landslide susceptibility evaluation and hazard zonation techniques – a review.
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- Geoenvironmental Disasters, 2020, v. 7, n. 1, p. 1, doi. 10.1186/s40677-020-00152-0
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- Article
An extreme rainfall-induced landslide susceptibility assessment using autoencoder combined with random forest in Shimane Prefecture, Japan.
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- Geoenvironmental Disasters, 2020, v. 7, n. 1, p. 1, doi. 10.1186/s40677-020-0143-7
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- Article
Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs.
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- Geoenvironmental Disasters, 2017, v. 4, n. 1, p. 1, doi. 10.1186/s40677-017-0083-z
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- Article
Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning.
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- Geoenvironmental Disasters, 2017, v. 4, n. 1, p. 1, doi. 10.1186/s40677-017-0073-1
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- Article
Landslide Damage from Extreme Rainstorm Geological Accumulation Layers within Plain River Basins.
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- Journal of Coastal Research, 2018, v. 82, p. 1, doi. 10.2112/SI82-001.1
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- Article
Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria.
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- Geoscience Letters, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40562-022-00256-5
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Using ensemble quantitative precipitation forecast for rainfall-induced shallow landslide predictions.
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- 2022
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- Letter
Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms.
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- 2022
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- Letter
Advancements, Challenges, and Future Directions in Rainfall-Induced Landslide Prediction: A Comprehensive Review.
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- Journal of Engineering & Technological Sciences, 2023, v. 55, n. 4, p. 466, doi. 10.5614/j.eng.technol.sci.2023.55.4.9
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Deep learning forecast of rainfall-induced shallow landslides.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-38135-y
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A Data-Driven and Hybrid Approach for Real-Time Threshold-Based Landslide Prediction in Hilly Regions using Sensor Networks.
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- Remote Sensing Letters, 2024, v. 15, n. 12, p. 1218, doi. 10.1080/2150704X.2024.2399331
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Geographic object-based image analysis for landslide identification using machine learning on google earth engine.
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- Environmental Earth Sciences, 2025, v. 84, n. 3, p. 1, doi. 10.1007/s12665-024-12045-8
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- Article
Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area.
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- Environmental Earth Sciences, 2024, v. 83, n. 8, p. 1, doi. 10.1007/s12665-024-11521-5
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- Article
Considering antecedent rainfall to improve susceptibility assessment of rainfall-earthquake-triggered landslides on unsaturated slopes.
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- Environmental Earth Sciences, 2024, v. 83, n. 5, p. 1, doi. 10.1007/s12665-024-11482-9
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- Article
Reactivation and dynamic process prediction of the Woda landslide in the upper Jinsha River Basin, China.
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- Environmental Earth Sciences, 2023, v. 82, n. 22, p. 1, doi. 10.1007/s12665-023-11221-6
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- Article
Spatio-temporal prediction and mapping of landslides using MTInSAR-learning logistic regression and weight of evidence modeling in urban environments: a case study for the Büyükçekmece–Küçükçekmece region, İstanbul, Türkiye
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- Environmental Earth Sciences, 2023, v. 82, n. 16, p. 1, doi. 10.1007/s12665-023-11064-1
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- Article
A comparative study of different machine learning models for landslide susceptibility prediction: a case study of Kullu-to-Rohtang pass transport corridor, India.
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- Environmental Earth Sciences, 2023, v. 82, n. 7, p. 1, doi. 10.1007/s12665-023-10846-x
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- Article
Exploring performance and robustness of shallow landslide susceptibility modeling at regional scale using different training and testing sets.
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- Environmental Earth Sciences, 2023, v. 82, n. 7, p. 1, doi. 10.1007/s12665-023-10844-z
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- Article
A new method for determining the conditions of use of the inverse velocity method.
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- Environmental Earth Sciences, 2023, v. 82, n. 6, p. 1, doi. 10.1007/s12665-023-10820-7
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Evaluation of landslide susceptibility based on VW-AHP-IV model: a case of Pengyang County, Ningxia, China.
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- Environmental Earth Sciences, 2023, v. 82, n. 4, p. 1, doi. 10.1007/s12665-023-10787-5
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- Article
Using time series analysis and dual-stage attention-based recurrent neural network to predict landslide displacement.
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- Environmental Earth Sciences, 2022, v. 81, n. 21, p. 1, doi. 10.1007/s12665-022-10637-w
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- Article
Deep learning models for large-scale slope instability examination in Western Uttarakhand, India.
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- Environmental Earth Sciences, 2022, v. 81, n. 20, p. 1, doi. 10.1007/s12665-022-10590-8
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Prediction of landslides by machine learning algorithms and statistical methods in Iran.
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- Environmental Earth Sciences, 2022, v. 81, n. 11, p. 1, doi. 10.1007/s12665-022-10388-8
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- Article
Research on landslide hazard spatial prediction models based on deep neural networks: a case study of northwest Sichuan, China.
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- Environmental Earth Sciences, 2022, v. 81, n. 9, p. 1, doi. 10.1007/s12665-022-10369-x
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- Article
Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter.
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- Environmental Earth Sciences, 2022, v. 81, n. 7, p. 1, doi. 10.1007/s12665-022-10317-9
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- Article
A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran).
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- Environmental Earth Sciences, 2022, v. 81, n. 2, p. 1, doi. 10.1007/s12665-021-10152-4
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- Article
Application of the method for prediction of the failure location and time based on monitoring of a slope using synthetic aperture radar.
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- Environmental Earth Sciences, 2021, v. 80, n. 21, p. 1, doi. 10.1007/s12665-021-09989-6
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Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis.
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- Environmental Earth Sciences, 2021, v. 80, n. 20, p. 1, doi. 10.1007/s12665-021-09998-5
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- Article
A new method for displacement prediction of "step-like" landslides based on VMD-FOA-SVR model.
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- Environmental Earth Sciences, 2021, v. 80, n. 17, p. 1, doi. 10.1007/s12665-021-09825-x
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- Article
A variable weight combination model for prediction on landslide displacement using AR model, LSTM model, and SVM model: a case study of the Xinming landslide in China.
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- Environmental Earth Sciences, 2021, v. 80, n. 10, p. 1, doi. 10.1007/s12665-021-09696-2
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- Article
Visual research and determination of structural plane and free face of rock slopes.
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- Environmental Earth Sciences, 2021, v. 80, n. 2, p. 1, doi. 10.1007/s12665-020-09340-5
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- Article
Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India.
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- Environmental Earth Sciences, 2020, v. 79, n. 20, p. N.PAG, doi. 10.1007/s12665-020-09227-5
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- Article
An emergency rescue communication system and environmental monitoring subsystem for underground coal mine based on wireless mesh network.
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- International Journal of Distributed Sensor Networks, 2018, v. 14, n. 10, p. 1, doi. 10.1177/1550147718805935
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- Article
Study on the Influence of Groundwater on Landslide Stability in the Three Gorges Reservoir.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2022, v. 47, n. 4, p. 4211, doi. 10.1007/s13369-021-05995-9
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- Article
Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam.
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- PLoS ONE, 2024, v. 19, n. 10, p. 1, doi. 10.1371/journal.pone.0308494
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- Article
A novel voting ensemble model for spatial prediction of landslides using GIS.
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- International Journal of Remote Sensing, 2020, v. 41, n. 3, p. 929, doi. 10.1080/01431161.2019.1654141
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- Article
Improved landslide prediction by considering continuous and discrete spatial dependency: Improved landslide prediction by considering continuous and discrete spatial dependency: Fang et al.
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- Landslides, 2025, v. 22, n. 4, p. 1107, doi. 10.1007/s10346-024-02431-5
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- Article
Displacement evolution of failure and non-failure sliding rock slopes: Displacement evolution of sliding rock slopes: Kuo et al.
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- Landslides, 2025, v. 22, n. 4, p. 1213, doi. 10.1007/s10346-024-02415-5
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- Article
Landslide predictions through combined rainfall threshold models.
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- Landslides, 2025, v. 22, n. 1, p. 137, doi. 10.1007/s10346-024-02340-7
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- Article
Comparative analysis of conventional and machine learning techniques for rainfall threshold evaluation under complex geological conditions.
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- Landslides, 2024, v. 21, n. 12, p. 2893, doi. 10.1007/s10346-024-02336-3
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- Article
Integrating geoinformatics and numerical modelling for landslide back-analysis and forecasting: a proactive mitigation study of the Shiv Bawri landslide.
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- Landslides, 2024, v. 21, n. 10, p. 2481, doi. 10.1007/s10346-024-02321-w
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Research on the deformation characteristics of Sanmendong landslide and the correlation of hydrodynamic action.
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- Landslides, 2024, v. 21, n. 11, p. 2811, doi. 10.1007/s10346-024-02301-0
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- Article
Research on the method of determining landslide threshold based on accelerating point dynamic identification.
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- Landslides, 2024, v. 21, n. 10, p. 2349, doi. 10.1007/s10346-024-02305-w
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- Article