P. J. García–Nieto

发表

A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data

J. A. Vilán, P. J. García-Nieto, E. García-Gonzalo, 2016 .

Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach

C. D. Muñiz, J. R. A. Fernández, E. García-Gonzalo, 2017, Journal of Mathematical Biology.

Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2021, Neural Computing and Applications.

Modeling algal atypical proliferation using the hybrid DE–MARS–based approach and M5 model tree in La Barca reservoir: A case study in northern Spain

E. García-Gonzalo, P. J. García-Nieto, E. García–Gonzalo, 2019, Ecological Engineering.

Using evolutionary multivariate adaptive regression splines approach to evaluate the eutrophication in the Pozón de la Dolores lake (Northern Spain)

C. Díaz Muñiz, E. García-Gonzalo, P. J. García-Nieto, 2016 .

Estimation of the coal higher heating value for energy systems relied on ultimate analysis with machine learning techniques

J. Paredes-Sánchez, E. García-Gonzalo, P. J. García–Nieto, 2024, Fuel.

Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques

Esperanza García Gonzalo, P. J. García-Nieto, P. J. García Nieto, 2021, Neural Computing and Applications.

Detection of outliers in pollutant emissions from the Soto de Ribera coal-fired power plant using functional data analysis: a case study in northern Spain

P. J. García-Nieto, E. García–Gonzalo, C. Ordóñez-Galán, 2018, Environmental Science and Pollution Research.

A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2020, Water Resources Management.

A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression

Antonio Bernardo Sánchez, P. J. García-Nieto, Esperanza García-Gonzalo, 2020, Neural Computing and Applications.

Prediction of outlet dissolved oxygen in micro-irrigation sand media filters using a Gaussian process regression

P. J. García-Nieto, E. García–Gonzalo, J. Puig-Bargués, 2020, Biosystems Engineering.

Modelling energy performance using a new hybrid DE/MARS–based approach for fossil-fuel thermal power stations

P. J. García-Nieto, E. García–Gonzalo, J. Paredes-Sánchez, 2020, Environmental Science and Pollution Research.

Modeling eutrophication risks in Tanes reservoir by using a hybrid WOA optimized SVR-relied technique along with feature selection based on the MARS approximation

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2021, Stochastic Environmental Research and Risk Assessment.

Prediction of Five Softwood Paper Properties from its Density using Support Vector Machine Regression Techniques

E. García-Gonzalo, Helena Pereira, Rogério Simões, 2016 .

Using Apparent Density of Paper from Hardwood Kraft Pulps to Predict Sheet Properties, based on Unsupervised Classification and Multivariable Regression Techniques

E. García-Gonzalo, Rogério Simões, P. J. García-Nieto, 2015 .

Study of the evolution of aerosol emissions from coal-fired power plants due to coagulation, condensation, and gravtitational settling and health impact.

P. J. García-Nieto, P J García-Nieto, P. J. García–Nieto, 2006, Journal of environmental management.

Study of Visibility Degradation Due to Coagulation, Condensation, and Gravitational Settling of the Atmospheric Aerosol

P. J. García-Nieto, P. J. García–Nieto, 2002 .

Parametric study of selective removal of atmospheric aerosol by coagulation, condensation and gravitational settling

P J García-Nieto, P. J. García–Nieto, 2001, International journal of environmental health research.

The use of response surface methodology to improve the thermal transmittance of lightweight concrete hollow bricks by FEM

Javier Domínguez-Hernández, José M. Pérez-Bella, Juan José del Coz Díaz, 2014 .