65 citations as recorded by crossref.

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27. Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques M. Ahmad et al. 10.3390/app11136167
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29. Modeling of tensile strength of rocks materials based on support vector machines approaches N. Ceryan et al. 10.1002/nag.2154
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31. Effects of the subtropical anticyclones over North Africa and Arabian Peninsula on the African easterly jet J. Spinks et al. 10.1002/joc.4017
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33. Equivalent-Linear Seismic Ground Response Analysis of Some Typical Sites in Mumbai V. Phanikanth et al. 10.1007/s10706-011-9443-8
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38. Estimation of spatiotemporal response of rooted soil using a machine learning approach Z. Cheng et al. 10.1631/jzus.A1900555
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42. Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential J. Zhou et al. 10.1007/s10462-022-10140-5
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45. A new approach for modeling of flow number of asphalt mixtures A. Alavi et al. 10.1016/j.acme.2016.06.004
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48. Large, deepwater slope failures: Implications for landslide-generated tsunamis C. Lo Iacono et al. 10.1130/G33446.1
49. Modelling wildfire activity in Iberia with different atmospheric circulation weather types R. Trigo et al. 10.1002/joc.3749
50. Exploring the possibility of assessing the damage degree of liquefaction based only on seismic records by artificial neural networks A. Kamura et al. 10.1016/j.sandf.2021.01.014
51. Evaluation of liquefaction potential based on CPT data using random forest V. Kohestani et al. 10.1007/s11069-015-1893-5
52. Deterministic and Probabilistic Analysis of Liquefaction for Different Regions in Bihar S. Umar et al. 10.1007/s10706-018-0498-7
53. Seismic liquefaction potential assessed by support vector machines approaches X. Xue & X. Yang 10.1007/s10064-015-0741-x
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55. Application of Feedforward Neural Network and SPT Results in the Estimation of Seismic Soil Liquefaction Triggering T. Pham & J. Hernández-Pérez 10.1155/2021/1058825
56. Ground based radon (222Rn) observations in Bucharest, Romania and their application to geophysics M. Zoran et al. 10.1007/s10967-012-1761-7
57. Bioclimatic analysis in a region of southern Italy (Calabria) T. Caloiero et al. 10.1080/11263504.2015.1037814
58. Long-term sustainability of biogas bubbles in sand X. Hu et al. 10.1038/s41598-020-69324-0
59. Including climate change projections in probabilistic flood risk assessment P. Ward et al. 10.1111/jfr3.12029
60. Application of genetic algorithm-based support vector machines for prediction of soil liquefaction X. Xue & M. Xiao 10.1007/s12665-016-5673-7
61. Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China S. Fu et al. 10.5194/nhess-20-581-2020
62. Engineering-Geological Features Supporting a Seismic-Driven Multi-Hazard Scenario in the Lake Campotosto Area (L’Aquila, Italy) B. Antonielli et al. 10.3390/geosciences11030107
63. Evaluation of soil liquefaction potential index based on SPT data in the Erzincan, Eastern Turkey E. Duman et al. 10.1007/s12517-014-1550-4
64. Evaluation of soil liquefaction using AI technology incorporating a coupled ENN / t-SNE model P. Atangana Njock et al. 10.1016/j.soildyn.2019.105988
65. Application of artificial intelligence techniques in prediction of cyclic resistance ratio (CRR) of clean sands V. Akhila & S. Adarsh 10.1088/1755-1315/491/1/012048