Browsing by author "García Gonzalo, María Esperanza"

A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Sánchez Lasheras, Fernando

; Alonso Fernández, José Ramón; Díaz Muñiz, C. (2020)

A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Sánchez Lasheras, Fernando

; Sánchez, Antonio Bernardo (2020)

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines

Sánchez Lasheras, Fernando

; Gracia Rodríguez, Javier

; García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Fidalgo Valverde, Gregorio

(2021)

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

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Paredes Sánchez, José Pablo

; Bernardo Sánchez, A. (2020)

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

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Alonso Fernández, J. R.; Díaz Muñiz, C. (2020)

A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Puig Bargués, J.; Solé Torres, C.; Durán Ros, M.; Arbat, G. (2020)

A support vector regression model for time series forecasting of the comex copper spot price

García Gonzalo, María Esperanza

; García Nieto, Paulino José

; Gracia Rodríguez, Javier

; Sánchez Lasheras, Fernando

; Fidalgo Valverde, Gregorio

(2022)

Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines

García Nieto, Paulino José

; Álvarez Antón, Juan Carlos

; Vilán Vilán, José Antonio; García Gonzalo, María Esperanza

(2015)

Air Quality Modeling Using the PSO-SVM-Based Approach, MLP Neural Network, and M5 Model Tree in the Metropolitan Area of Oviedo (Northern Spain)

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Bernardo Sánchez, Antonio

; Rodríguez Miranda, A. A. (2017)

Aligned PSO for optimization of image processing methods applied to the face recognition problem

Fernández Martínez, Juan Luis

; Cernea Corbeanu, Ana

; García Gonzalo, María Esperanza

; Velasco Valdés, Julián

; Panigrahi, B. K. (2013)

AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media

Fernández Martínez, Juan Luis

; Pedruelo González, Luis Mariano

; García Gonzalo, María Esperanza

(2009)

Análisis de la bibliografía disponible para el tema de aritmética finita y teoría de errores de la asignatura de Computación Numérica del grado en Ingeniería Informática del Software y recomendaciones para su uso

Sánchez Lasheras, Fernando

; García Nieto, Paulino José

; García Gonzalo, María Esperanza

(Servicio de Publicaciones de la Universidad de Oviedo, 2022)

Analysis of kinetic data in industrial steel converter for the operation control

Blanco Viejo, Cecilio José

; García Gonzalo, María Esperanza

; Rendueles de la Vega, Manuel

; Díaz Fernández, José Mario

; Sancho, L. F. (EDP Sciences, 2007)

Application of global optimization algorithms to a salt water intrusion problem

Fernández Martínez, Juan Luis

; Kuzma, H. A.; García Gonzalo, María Esperanza

; Fernández Díaz, Julio Manuel

; Fernández Álvarez, José Paulino

; Menéndez Pérez, César Omar

(2009)

Avances en el análisis teórico del algoritmo Particle Swarm Optimization. Aplicación a la resolución de problemas inversos

García Gonzalo, María Esperanza

(Universidad de Oviedo, 2011)

Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/RBF-SVM-Based Model

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Sánchez Lasheras, Fernando

; Bernardo Sánchez, Antonio

(2020)

A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Álvarez Antón, Juan Carlos

; González Suárez, Víctor Manuel

; Mayo Bayón, Ricardo

; Mateos Martín, Felipe

(2017)

Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions

García Gonzalo, María Esperanza

; Fernández Martínez, Juan Luis

(Elsevier Inc., 2014)

Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Sánchez Lasheras, Fernando

; Alonso Fernández, José Ramón; Díaz Muñiz, Cristina; Cos Juez, Francisco Javier de

(2018)

Data-driven state-of-charge prediction of a storage cell using abc/gbrt, abc/mlp and lasso machine Learning techniques

Álvarez Antón, Juan Carlos

; García Nieto, Paulino José

; García Gonzalo, María Esperanza

; González Vega, Manuela

; Blanco Viejo, Cecilio José

(2023)

Browsing by author "García Gonzalo, María Esperanza"

A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study ﻿

A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology ﻿

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines ﻿

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

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

A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression ﻿

A support vector regression model for time series forecasting of the comex copper spot price ﻿

Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines ﻿

Air Quality Modeling Using the PSO-SVM-Based Approach, MLP Neural Network, and M5 Model Tree in the Metropolitan Area of Oviedo (Northern Spain) ﻿

Aligned PSO for optimization of image processing methods applied to the face recognition problem ﻿

AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media ﻿

Análisis de la bibliografía disponible para el tema de aritmética finita y teoría de errores de la asignatura de Computación Numérica del grado en Ingeniería Informática del Software y recomendaciones para su uso ﻿

Analysis of kinetic data in industrial steel converter for the operation control ﻿

Application of global optimization algorithms to a salt water intrusion problem ﻿

Avances en el análisis teórico del algoritmo Particle Swarm Optimization. Aplicación a la resolución de problemas inversos ﻿

Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/RBF-SVM-Based Model ﻿

A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance ﻿

Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions ﻿

Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study ﻿

Data-driven state-of-charge prediction of a storage cell using abc/gbrt, abc/mlp and lasso machine Learning techniques ﻿

A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study

A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines

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

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

A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression

A support vector regression model for time series forecasting of the comex copper spot price

Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines

Air Quality Modeling Using the PSO-SVM-Based Approach, MLP Neural Network, and M5 Model Tree in the Metropolitan Area of Oviedo (Northern Spain)

Aligned PSO for optimization of image processing methods applied to the face recognition problem

AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media

Análisis de la bibliografía disponible para el tema de aritmética finita y teoría de errores de la asignatura de Computación Numérica del grado en Ingeniería Informática del Software y recomendaciones para su uso

Analysis of kinetic data in industrial steel converter for the operation control

Application of global optimization algorithms to a salt water intrusion problem

Avances en el análisis teórico del algoritmo Particle Swarm Optimization. Aplicación a la resolución de problemas inversos

Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/RBF-SVM-Based Model

A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance

Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions

Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study

Data-driven state-of-charge prediction of a storage cell using abc/gbrt, abc/mlp and lasso machine Learning techniques