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Deep Neural Networks for the Estimation of Masonry Structures Failures under Rockfalls.
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- Geosciences (2076-3263), 2023, v. 13, n. 6, p. 156, doi. 10.3390/geosciences13060156
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- Article
Novel Fuzzy-Based Optimization Approaches for the Prediction of Ultimate Axial Load of Circular Concrete-Filled Steel Tubes.
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- Buildings (2075-5309), 2021, v. 11, n. 12, p. 629, doi. 10.3390/buildings11120629
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- Article
Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks.
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- Journal of Cellular & Molecular Medicine, 2022, v. 26, n. 5, p. 1445, doi. 10.1111/jcmm.17098
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- Article
A Novel Heuristic Algorithm for the Modeling and Risk Assessment of the COVID-19 Pandemic Phenomenon.
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- CMES-Computer Modeling in Engineering & Sciences, 2020, v. 125, n. 2, p. 815, doi. 10.32604/cmes.2020.013280
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- Article
Prediction of Surface Treatment Effects on the Tribological Performance of Tool Steels Using Artificial Neural Networks.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 14, p. 2788, doi. 10.3390/app9142788
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- Article
Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 2, p. 243, doi. 10.3390/app9020243
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- Article
Genetic justification of COVID‐19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm.
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- Journal of Cellular & Molecular Medicine, 2024, v. 28, n. 4, p. 1, doi. 10.1111/jcmm.18105
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- Article
Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models.
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- Rock Mechanics & Rock Engineering, 2023, v. 56, n. 1, p. 487, doi. 10.1007/s00603-022-03046-9
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- Article
Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks.
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- Rock Mechanics & Rock Engineering, 2022, v. 55, n. 11, p. 6805, doi. 10.1007/s00603-022-02992-8
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- Article