94 citations as recorded by crossref.

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31. 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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44. 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
45. A Hybrid Random Forest and Least Squares Support Vector Machine Model Based on Particle Swarm Optimization Algorithm for Slope Stability Prediction: A Case Study in Sichuan–Tibet Highway, China T. Shu et al. 10.1155/2023/6651323
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48. Understanding the Mechanisms of Earth Fissuring for Hazard Mitigation in Najran, Saudi Arabia M. Alsaiari et al. 10.3390/su15076006
49. 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
50. 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
51. Prediction of Thermal Barrier Coatings Microstructural Features Based on Support Vector Machine Optimized by Cuckoo Search Algorithm D. Ye et al. 10.3390/coatings10070704
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53. 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
54. Self-Healing Performance Assessment of Bacterial-Based Concrete Using Machine Learning Approaches X. Huang et al. 10.3390/ma15134436
55. Predicting customer churn using grey wolf optimization‐based support vector machine with principal component analysis B. Durkaya Kurtcan & T. Ozcan 10.1002/for.2960
56. 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
57. 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
58. Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm D. Yang et al. 10.1016/j.mechmachtheory.2015.03.013
59. Dynamic measurement errors prediction for sensors based on firefly algorithm optimize support vector machine M. Jiang et al. 10.1016/j.scs.2017.08.004
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61. Prediction of Slope Stability Based on Hybrid PSO and LSSVM X. Xue 10.1061/(ASCE)CP.1943-5487.0000607
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63. Predicting wave forces on coastal bridges using genetic algorithm enhanced ensemble learning framework G. Xu et al. 10.1016/j.oceaneng.2022.112963
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65. Statistical downscaling of sea levels: application of multi-criteria analysis for selection of global climate models S. Sithara et al. 10.1007/s10661-022-10449-2
66. An improved SVM web page classification algorithm X. Ren et al. 10.1088/1742-6596/1187/4/042063
67. 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
68. 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
69. Prediction of Healing Performance of Autogenous Healing Concrete Using Machine Learning X. Huang et al. 10.3390/ma14154068
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72. Comparative study on credit card fraud detection based on different support vector machines C. Li et al. 10.3233/IDA-195011
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74. Integration of Genetic Algorithm and Support Vector Machine to Predict Rail Track Degradation A. Falamarzi et al. 10.1051/matecconf/201925902007
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78. A genetic algorithm-based support vector machine to estimate the transverse mixing coefficient in streams H. Nezaratian et al. 10.2166/wqrj.2021.003
79. Quantitative prediction model and prewarning system of water yield capacity (WYC) from coal seam roof based on deep learning and joint advanced detection F. Dong et al. 10.1016/j.energy.2023.130200
80. Comparison of two optimized machine learning models for predicting displacement of rainfall-induced landslide: A case study in Sichuan Province, China X. Zhu et al. 10.1016/j.enggeo.2017.01.022
81. Utilization of Support Vector Models and Gene Expression Programming for Soil Strength Modeling A. Tenpe & A. Patel 10.1007/s13369-020-04441-6
82. Prediction and determination of mildew grade in grain storage based on FOA-SVM algorithm J. Yuan et al. 10.1093/fqsafe/fyac071
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84. Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China) H. Hong et al. 10.1080/19475705.2016.1250112
85. Discharge modeling and characteristic analysis of semi-circular side weir based on the soft computing method S. Li et al. 10.2166/hydro.2023.268
86. Landslide susceptibility mapping along the upper Jinsha River, south-western China: a comparison of hydrological and curvature watershed methods for slope unit classification X. Sun et al. 10.1007/s10064-020-01849-0
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