Review: machine learning techniques applied to cybersecurity von Martínez Torres, Javier, Iglesias Comesaña, Carla, García-Nieto, Paulino J.

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Hard-Rock Stability Analysis for Span Design in Entry-Type Excavations with Learning Classifiers von García-Gonzalo, Esperanza, Fernández-Muñiz, Zulima, García Nieto, Paulino José, Bernardo Sánchez, Antonio, Menéndez Fernández, Marta

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A hybrid PCA-CART-MARS-based prognostic approach of the remaining useful life for aircraft engines von Sánchez Lasheras, Fernando, García Nieto, Paulino José, de Cos Juez, Francisco Javier, Mayo Bayón, Ricardo, González Suárez, Victor Manuel

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Support Vector Machines Used to Estimate the Battery State of Charge von Alvarez Anton, Juan Carlos, Garcia Nieto, Paulino Jose, Blanco Viejo, Cecilio, Vilan Vilan, Jose Antonio

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Hybrid DE optimised kernel SVR–relied techniques to forecast the outlet turbidity and outlet dissolved oxygen in distinct filtration media and micro-irrigation filters von García–Nieto, Paulino José, García–Gonzalo, Esperanza, Arbat, Gerard, Duran–Ros, Miquel, Pujol, Toni, Puig–Bargués, Jaume

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Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications von Alvarez-Rodriguez, Matias, Alonso-Martinez, Mar, Suarez-Ramon, Ines, José García-Nieto, Paulino

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Forecast of the higher heating value based on proximate analysis by using support vector machines and multilayer perceptron in bioenergy resources von Nieto, Paulino José García, García–Gonzalo, Esperanza, Paredes–Sánchez, Beatriz M, Paredes–Sánchez, José P

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Battery State-of-Charge Estimator Using the MARS Technique von Álvarez Antón, Juan Carlos, García Nieto, Paulino José, de Cos Juez, Francisco Javier, Sánchez Lasheras, Fernando, Blanco Viejo, Cecilio, Roqueñí Gutiérrez, Nieves

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Forecast of chlorophyll-a concentration as an indicator of phytoplankton biomass in El Val reservoir by utilizing various machine learning techniques: A case study in Ebro river ba... von García–Nieto, Paulino José, García–Gonzalo, Esperanza, Alonso Fernández, José Ramón, Díaz Muñiz, Cristina

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Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques von García-Nieto, Paulino José, García-Gonzalo, Esperanza, Paredes-Sánchez, José Pablo

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Estimation of the coal higher heating value for energy systems relied on ultimate analysis with machine learning techniques von García–Nieto, Paulino José, García–Gonzalo, Esperanza, Paredes–Sánchez, José Pablo

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Modelling energy performance using a new hybrid DE/MARS–based approach for fossil-fuel thermal power stations von García–Nieto, Paulino José, García–Gonzalo, Esperanza, Paredes–Sánchez, José Pablo, Bernardo Sánchez, Antonio

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Evolution and forecasting of PM10 concentration at the Port of Gijon (Spain) von Sánchez Lasheras, Fernando, García Nieto, Paulino José, García Gonzalo, Esperanza, Bonavera, Laura, de Cos Juez, Francisco Javier

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Energy Multiphase Model for Biocoal Conversion Systems by Means of a Nodal Network von Paredes-Sanchez, Beatriz M., Paredes-Sanchez, Jose P., Garcia-Nieto, Paulino J.

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Modelling energy performance of residential dwellings by using the MARS technique, SVM-based approach, MLP neural network and M5 model tree von García Nieto, Paulino José, García–Gonzalo, Esperanza, Paredes–Sánchez, Beatriz María, Paredes–Sánchez, José Pablo

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Functional Data Analysis for the Detection of Outliers and Study of the Effects of the COVID-19 Pandemic on Air Quality: A Case Study in Gijón, Spain von Rigueira, Xurxo, Araújo, María, Martínez, Javier, García-Nieto, Paulino, Ocarranza, Iago

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A support vector regression model for time series forecasting of the COMEX copper spot price von García-Gonzalo, Esperanza, García Nieto, Paulino José, Gracia Rodríguez, Javier, Sánchez Lasheras, Fernando, Fidalgo Valverde, Gregorio

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Modelling hydrogen production from biomass pyrolysis for energy systems using machine learning techniques von García-Nieto, Paulino José, García-Gonzalo, Esperanza, Paredes-Sánchez, Beatriz María, Paredes-Sánchez, José Pablo

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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 von Nieto, Paulino Jose Garcia, Garcia-Gonzalo, Esperanza, Sanchez, Antonio Bernardo, Fernandez, Marta Menendez

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Evaluation of Implementation of Biomass and Solar Resources by Energy Systems in the Coal-Mining Areas of Spain von Paredes-Sánchez, Beatriz M., Paredes-Sánchez, José P., García-Nieto, Paulino José

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