61 citations as recorded by crossref.

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22. Prediction of China’s Energy Consumption Based on Robust Principal Component Analysis and PSO-LSSVM Optimized by the Tabu Search Algorithm L. Zhang et al. 10.3390/en12010196
23. Prediction on landslide displacement using a new combination model: a case study of Qinglong landslide in China W. Wang et al. 10.1007/s11069-019-03595-3
24. Landslide displacement forecasting using deep learning and monitoring data across selected sites L. Nava et al. 10.1007/s10346-023-02104-9
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27. Machine learning methods for predicting the uniaxial compressive strength of the rocks: a comparative study T. Wen et al. 10.1007/s11707-024-1101-6
28. Application of Well Drainage on Treating Seepage-Induced Reservoir Landslides Z. Zou et al. 10.3390/ijerph17176030
29. Relationship between river bank stability and hydrological processes using in situ measurement data G. Mentes 10.1556/24.62.2019.01
30. Landslide displacement prediction based on spatio-temporal association rule mining between target case and similar cases F. Dai et al. 10.1007/s00477-023-02504-2
31. Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study J. Ma et al. 10.1007/s10346-022-01923-6
32. Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence X. Zhang et al. 10.1007/s11069-024-06673-3
33. Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir B. Yang et al. 10.3390/s22041320
34. Prediction of landslide displacement with step-like curve using variational mode decomposition and periodic neural network Q. Liu et al. 10.1007/s10064-021-02136-2
35. Using a kernel extreme learning machine with grey wolf optimization to predict the displacement of step-like landslide K. Liao et al. 10.1007/s10064-019-01598-9
36. Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review R. He et al. 10.1016/j.rockmb.2024.100144
37. Short-Term Rockburst Damage Assessment in Burst-Prone Mines: An Explainable XGBOOST Hybrid Model with SCSO Algorithm Y. Qiu & J. Zhou 10.1007/s00603-023-03522-w
38. A Prediction Model of Hydrodynamic Landslide Evolution Process Based on Deep Learning Supported by Monitoring Big Data R. Wang et al. 10.3389/feart.2022.829221
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40. Innovative consideration of a directional appraisal parameter as destabilized criterion of the colluvial landslide H. Keqiang et al. 10.1007/s12665-019-8709-y
41. Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model Z. Lin et al. 10.3390/ijerph19042077
42. Landslide Displacement Prediction of Shuping Landslide Combining PSO and LSSVM Model W. Jia et al. 10.3390/w15040612
43. Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability S. Dai et al. 10.3390/su10040958
44. A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression J. Ma et al. 10.1007/s00477-022-02183-5
45. Landslide displacement prediction based on time series analysis and data assimilation with hydrological factors J. Wang et al. 10.1007/s12517-020-05452-1
46. Displacement prediction of tunnel entrance slope based on LSSVM and bacterial foraging optimization algorithm W. Xihao et al. 10.1038/s41598-024-75804-4
47. Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach J. Ma et al. 10.1155/2020/2624547
48. Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations Z. Ma & G. Mei 10.1016/j.jrmge.2024.02.034
49. A model for interpreting the deformation mechanism of reservoir landslides in the Three Gorges Reservoir area, China Z. Zou et al. 10.5194/nhess-21-517-2021
50. Dynamics of creeping landslides controlled by inelastic hydro-mechanical couplings X. Li et al. 10.1016/j.enggeo.2023.107078
51. A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states L. Li et al. 10.1007/s00477-020-01914-w
52. Landslide displacement prediction by using Bayesian optimization–temporal convolutional networks J. Yang et al. 10.1007/s11440-023-02205-8
53. Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter N. Zhang et al. 10.1007/s12665-022-10317-9
54. A New Reliability Rock Mass Classification Method Based on Least Squares Support Vector Machine Optimized by Bacterial Foraging Optimization Algorithm S. Zheng et al. 10.1155/2020/3897215
55. Slope stability prediction based on adaptive CE factor quantum behaved particle swarm optimization-least-square support vector machine J. Yang 10.3389/feart.2023.1098872
56. A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area J. Zhang et al. 10.3390/s20154287
57. Displacement Prediction of Channel Slope Based on EEMD-IESSA-LSSVM Combined Algorithm H. Yao et al. 10.3390/app13179582
58. Hydrodynamic landslide displacement prediction using combined extreme learning machine and random search support vector regression model R. Wang et al. 10.1080/19648189.2020.1754298
59. Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines Y. Wang et al. 10.1155/2020/7082594
60. An interval water demand prediction method to reduce uncertainty: A case study of Sichuan Province, China X. Xia et al. 10.1016/j.envres.2023.117143
61. Prediction of strata settlement in undersea metal mining based on deep forest W. Liu et al. 10.1038/s41598-024-80025-w