Matemáticas
Department
Publications by the researcher in collaboration with ANTONIO BERNARDO SANCHEZ (19)
2024
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Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression
Alexandria Engineering Journal, Vol. 86, pp. 144-156
2023
2021
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A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression
Neural Computing and Applications, Vol. 33, Núm. 12, pp. 6627-6640
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Modelling energy performance using a new hybrid DE/MARS–based approach for fossil-fuel thermal power stations
Environmental Science and Pollution Research, Vol. 28, Núm. 4, pp. 4417-4429
2020
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A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology
Mathematics, Vol. 8, Núm. 6
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Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model
IJIMAI, Vol. 6, Núm. 4, pp. 39-48
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Directional Attenuation Relationship for Ground Vibrations Induced by Mine Tremors
Journal of Mining Science, Vol. 56, Núm. 2, pp. 236-245
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Predicting benzene concentration using machine learning and time series algorithms
Mathematics, Vol. 8, Núm. 12, pp. 1-21
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Sustainable earthworks: Optimization with the ICOM method
Energy Reports, Vol. 6, pp. 404-419
2019
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Multivariate analysis to relate CTOD values with material properties in steel welded joints for the offshore wind power industry
Energies, Vol. 12, Núm. 20
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Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques
Neural Computing and Applications, Vol. 31, Núm. 12, pp. 8823-8836
2018
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Air Quality Modeling Using the PSO-SVM-Based Approach, MLP Neural Network, and M5 Model Tree in the Metropolitan Area of Oviedo (Northern Spain)
Environmental Modeling and Assessment, Vol. 23, Núm. 3, pp. 229-247
2017
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Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions
Journal of Computational and Applied Mathematics, Vol. 311, pp. 704-717
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Predicting changes in induced seismicity on the basis of estimated rock mass energy states
International Journal of Rock Mechanics and Mining Sciences, Vol. 95, pp. 79-86
2016
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A new predictive model based on the abc optimized multivariate adaptive regression splines approach for predicting the remaining useful life in aircraft engines
Energies, Vol. 9, Núm. 6
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Hard-rock stability analysis for span design in entry-type excavations with learning classifiers
Materials, Vol. 9, Núm. 7
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Hybrid ABC optimized MARS-based modeling of the milling tool wear from milling run experimental data
Materials, Vol. 9, Núm. 2
2013
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Forecasting SO2 pollution incidents by means of Elman artificial neural networks and ARIMA models
Abstract and Applied Analysis, Vol. 2013
2010
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Analysis of an interaction problem between an electromagnetic field and an elastic body
International Journal of Numerical Analysis and Modeling, Vol. 7, Núm. 4, pp. 749-765