103 citations as recorded by crossref.

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22. Overall grouting compactness detection of bridge prestressed bellows based on RF feature selection and the GA-SVM model H. Liu et al. 10.1016/j.conbuildmat.2021.124323
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26. Understanding the Mechanisms of Earth Fissuring for Hazard Mitigation in Najran, Saudi Arabia M. Alsaiari et al. 10.3390/su15076006
27. 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
28. 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
29. Short-Term Prediction of Vertical Deformation in Tidal Flat Terrains Based on PSO-VMD-LSTM Q. Zhou et al. 10.1109/TIM.2024.3413180
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31. Self-Healing Performance Assessment of Bacterial-Based Concrete Using Machine Learning Approaches X. Huang et al. 10.3390/ma15134436
32. Predicting customer churn using grey wolf optimization‐based support vector machine with principal component analysis B. Durkaya Kurtcan & T. Ozcan 10.1002/for.2960
33. Prediction of Carbon Emission of the Transportation Sector in Jiangsu Province-Regression Prediction Model Based on GA-SVM Z. Huo et al. 10.3390/su15043631
34. 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
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40. Data Mining and Deep Learning for Predicting the Displacement of “Step-like” Landslides F. Miao et al. 10.3390/s22020481
41. 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 X. Wu et al. 10.1007/s12665-015-5022-2
42. Utilization of Support Vector Models and Gene Expression Programming for Soil Strength Modeling A. Tenpe & A. Patel 10.1007/s13369-020-04441-6
43. Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review R. He et al. 10.1016/j.rockmb.2024.100144
44. Integrating Data Modality and Statistical Learning Methods for Earthquake-Induced Landslide Susceptibility Mapping Z. Miao et al. 10.3390/app12031760
45. A hybrid machine learning and computing model for forecasting displacement of multifactor-induced landslides X. Zhu et al. 10.1007/s00521-017-2968-x
46. Input-parameter optimization using a SVR based ensemble model to predict landslide displacements in a reservoir area – A comparative study J. Zhang et al. 10.1016/j.asoc.2023.111107
47. Application of Support Vector Machine Algorithm Incorporating Slime Mould Algorithm Strategy in Ancient Glass Classification Y. Guo et al. 10.3390/app13063718
48. A Cuckoo Search-Support Vector Machine Model for Predicting Dynamic Measurement Errors of Sensors M. Jiang et al. 10.1109/ACCESS.2016.2605041
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50. Estuary salinity prediction using a coupled GA-SVM model: a case study of the Min River Estuary, China Y. Fang et al. 10.2166/ws.2016.097
51. A semantic information-driven stepwise landslide displacement prediction model F. Tang et al. 10.1007/s10661-022-10417-w
52. Suspended sediment yield estimation using genetic algorithm-based artificial intelligence models: case study of Mahanadi River, India A. Yadav et al. 10.1080/02626667.2018.1483581
53. Using color and 3D geometry features to segment fruit point cloud and improve fruit recognition accuracy G. Wu et al. 10.1016/j.compag.2020.105475
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55. A novel hybrid algorithm with static and dynamic models for air quality index forecasting X. Zhao et al. 10.1007/s11071-023-08552-1
56. Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR) Z. Liu et al. 10.1007/s11069-023-06322-1
57. Prediction of landslide displacement based on GA-LSSVM with multiple factors Z. Cai et al. 10.1007/s10064-015-0804-z
58. SVM‐based hybrid approach for corridor‐level travel‐time estimation R. Sharmila et al. 10.1049/iet-its.2018.5069
59. Landslide Susceptibility Mapping Using the Slope Unit for Southeastern Helong City, Jilin Province, China: A Comparison of ANN and SVM C. Yu & J. Chen 10.3390/sym12061047
60. A FRAMEWORK FOR FINGERPRINT LIVENESS DETECTION USING SUPPORT VECTOR MACHINE OPTIMIZED BY GENETIC ALGORITHM Y. IBRAHIM et al. 10.26634/jpr.5.2.15536
61. Predicting the Deformation of a Slope Using a Random Coefficient Panel Data Model Z. Yuan et al. 10.3390/fractalfract8070429
62. Comparison of LR, 5-CV SVM, GA SVM, and PSO SVM for landslide susceptibility assessment in Tibetan Plateau area, China Y. Zhang et al. 10.1007/s11629-022-7685-y
63. Dynamic prediction of landslide life expectancy using ensemble system incorporating classical prediction models and machine learning L. Liu et al. 10.1016/j.gsf.2023.101758
64. Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran M. Asadi et al. 10.1007/s13201-025-02361-0
65. Modeling and prediction of the specific heat capacity of Al2 O3/water nanofluids using hybrid genetic algorithm/support vector regression model I. Alade et al. 10.1016/j.nanoso.2018.12.001
66. Prediction of Slope Stability using Naive Bayes Classifier X. Feng et al. 10.1007/s12205-018-1337-3
67. A hybrid intelligent optimization approach to improving quality for serial multistage and multi-response coal preparation production systems X. Yin et al. 10.1016/j.jmsy.2018.05.006
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76. Determination of the shear failure areas of rock joints using a laser scanning technique and artificial intelligence algorithms Y. Ge et al. 10.1016/j.enggeo.2021.106320
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78. Assessment of circular-bored twin tunnel (CBTT) performance using soft computing methods H. Li et al. 10.1007/s00366-021-01288-9
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83. An improved SVM web page classification algorithm X. Ren et al. 10.1088/1742-6596/1187/4/042063
84. Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model I. Alade et al. 10.1016/j.cmpb.2018.05.029
85. Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran H. Pourghasemi & N. Kerle 10.1007/s12665-015-4950-1
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