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Data-Driven Prediction of Stability of Rock Tunnel Heading: An Application of Machine Learning Models.
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- Infrastructures, 2022, v. 7, n. 11, p. 148, doi. 10.3390/infrastructures7110148
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Developing soft-computing regression model for predicting bearing capacity of eccentrically loaded footings on anisotropic clay.
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- Artificial Intelligence in Geosciences, 2023, v. 4, p. 68, doi. 10.1016/j.aiig.2023.05.001
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- Article
Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes.
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- Buildings (2075-5309), 2023, v. 13, n. 6, p. 1371, doi. 10.3390/buildings13061371
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Neural Network-Based Prediction Model for the Stability of Unlined Elliptical Tunnels in Cohesive-Frictional Soils.
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- Buildings (2075-5309), 2022, v. 12, n. 4, p. 444, doi. 10.3390/buildings12040444
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- Article
Stability Evaluations of Unlined Horseshoe Tunnels Based on Extreme Learning Neural Network.
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- Computation, 2022, v. 10, n. 6, p. 81, doi. 10.3390/computation10060081
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- Article
Probabilistic Analysis of the Seismic Bearing Capacity of Strip Footings Using RAFELA and MARS.
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- Geotechnical & Geological Engineering, 2024, v. 42, n. 7, p. 6671, doi. 10.1007/s10706-024-02857-7
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- Article
An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays.
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- Earth Science Informatics, 2024, v. 17, n. 1, p. 251, doi. 10.1007/s12145-023-01175-5
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Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4153, doi. 10.1007/s12145-023-01152-y
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- Article
Soft Computing-Based Models for Estimating the Ultimate Bearing Capacity of an Annular Footing on Hoek–Brown Material.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2024, v. 49, n. 4, p. 5989, doi. 10.1007/s13369-023-08588-w
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