Construcción e Ingeniería de Fabricación
Departamento
MARIA ESPERANZA
GARCIA GONZALO
Profesora Titular de Universidad
Publicaciones en las que colabora con MARIA ESPERANZA GARCIA GONZALO (14)
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
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A support vector regression model for time series forecasting of the COMEX copper spot price
Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 775-784
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Method for the Detection of Functional Outliers Applied to Quality Monitoring Samples in the Vicinity of El Musel Seaport in the Metropolitan Area of Gijón (Northern Spain)
Mathematics, Vol. 11, Núm. 12
2021
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A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines
Advances in Intelligent Systems and Computing
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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
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Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression
Advances in Intelligent Systems and Computing
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
2019
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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
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