Construcción e Ingeniería de Fabricación
Departamento
PAULINO JOSE
GARCIA NIETO
Catedrático de Universidad
Publicaciones en las que colabora con PAULINO JOSE GARCIA NIETO (83)
2024
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Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
Applied Thermal Engineering, Vol. 242
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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
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Predicting benzene concentration using machine learning and time series algorithms
Mathematics, Vol. 8, Núm. 12, pp. 1-21
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
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Numerical investigation of truck aerodynamics on several classes of infrastructures
Wind and Structures, An International Journal, Vol. 26, Núm. 1, pp. 35-43
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Optimización de estructuras de acero con un algoritmo genético y tres códigos de construcción internacionales
Revista de la Construcción, Vol. 17, Núm. 1, pp. 47-59
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
2014
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Hygrothermal study of lightweight concrete hollow bricks: A new proposed experimental-numerical method
Energy and Buildings, Vol. 70, pp. 194-206
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The use of response surface methodology to improve the thermal transmittance of lightweight concrete hollow bricks by FEM
Construction and Building Materials, Vol. 52, pp. 331-344