Listar por autor "Bernardo Sánchez, Antonio"

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)

Analysis of an interaction problem between an electromagnetic field and an elastic body

Bernardo Sánchez, Antonio

; Márquez Gentil, Antonio

; Meddahi Bouras, Salim

(2010)

Analysis of the influence of forestry environments on the accuracy of GPS measurements by means of recurrent neural networks

Ordóñez Galán, Celestino

; Rodríguez Pérez, José Ramón; García Cortés, Silverio

; Bernardo Sánchez, Antonio

(2012)

Auxiliary ventilation systems in mining and tunnelling: air leakage prediction and system design to optimize the energy efficiency and operation costs

Menéndez, J.; Fernández Oro, Jesús Manuel

; Merlé, N.; Galdo Vega, Mónica

; Álvarez, L.; López, C.; Bernardo Sánchez, Antonio

(2023)

Calculo probabilístico en rotura de acristalamientos mediante utilización de parámetros de fractura

Bernardo Sánchez, Antonio

(1994)

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)

Concentration, propagation and dilution of toxic gases in underground excavations under different ventilation modes

Menéndez, Javier; Merlé, Noé; Fernández Oro, Jesús Manuel

; Galdo Vega, Mónica

; Álvarez de Prado, Laura; Loredo Pérez, Jorge Luis

; Bernardo Sánchez, Antonio

(2022)

Dimensionamiento de placas de acristalamiento para edificios mediante un modelo probabilístico de rotura

Fernández Canteli, Alfonso Carlos

; Viña Olay, María Isabel

; Bernardo Sánchez, Antonio

(CSIC, 1996)

Dimensionamiento probabilístico y análisis experimental de vidrios en rotura

García Prieto, María Antonia

(2001-04-04)

Diseño de un proceso mineralúrgico de concentración de una mena de oligisto para la industria de los pigmentos

Menéndez Fernández, Marta (2015-01-13)

Forecasting SO2 pollution incidents by means of elman artificial neural networks and ARIMA models

Bernardo Sánchez, Antonio

; Ordóñez Galán, Celestino

; Sánchez Lasheras, Fernando

; Cos Juez, Francisco Javier de

; Roca Pardiñas, Javier (2013)

Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions

Ordóñez Galán, Celestino

; Sánchez Lasheras, Fernando

; Cos Juez, Francisco Javier de

; Bernardo Sánchez, Antonio

(2017)

A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft Engines

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Bernardo Sánchez, Antonio

; Menéndez Fernández, Marta (2016)

Predicting changes in induced seismicity on the basis of estimated rock mass energy states

Banka, P.; Chmiela, A.; Menéndez Fernández, Marta; Fernández Muñiz, María Zulima

; Bernardo Sánchez, Antonio

(2017)

Predicting the critical superconducting temperature using the random forest, mlp neural network, m5 model tree and multivariate linear regression

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Menéndez García, Luis Alfonso; Álvarez de Prado, Laura; Bernardo Sánchez, Antonio

(2024)

Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques

García Nieto, Paulino José

; García Gonzalo, María Esperanza

; Paredes Sánchez, José Pablo

; Bernardo Sánchez, Antonio

; Menéndez Fernández, M. (2018)

The preg-robbing of gold and silver by clays during cyanidation under agitation and heap leaching conditions

Tremolada Payano, Julio; Dzioba, Blanca Rosa; Bernardo Sánchez, Antonio

; Menéndez Aguado, Juan María

(2010)

Recuperación de iones cobre por flotación con amilxantato de potasio

Ramírez Serrano, Beatriz; Coello Velázquez, Alfredo Lázaro; Bernardo Sánchez, Antonio

; Afif Khouri, Elías

; Menéndez Aguado, Juan María

(2012)

Study of copper fixation mechanisms on Bayer Process Electrostatic precipitator Microparticles (BPEM) using 1H and 27Al NMR spectroscopy

Sancho Gorostiaga, José; Bernardo Sánchez, Antonio

; Sancho Martínez, José Pedro

; Fernández González, Daniel

; Verdeja González, Luis Felipe

(2021)

Technical feasibility of lined mining tunnels in closed coal mines as underground reservoirs of compressed air energy storage systems

Schmidt, F.; Menéndez J.; Konietzky, H.; Jiang, Z.; Fernández Oro, Jesús Manuel

; Álvarez, L.; Bernardo Sánchez, Antonio

(2024)

Listar por autor "Bernardo Sánchez, Antonio"

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

Analysis of an interaction problem between an electromagnetic field and an elastic body ﻿

Analysis of the influence of forestry environments on the accuracy of GPS measurements by means of recurrent neural networks ﻿

Auxiliary ventilation systems in mining and tunnelling: air leakage prediction and system design to optimize the energy efficiency and operation costs ﻿

Calculo probabilístico en rotura de acristalamientos mediante utilización de parámetros de fractura ﻿

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

Concentration, propagation and dilution of toxic gases in underground excavations under different ventilation modes ﻿

Dimensionamiento de placas de acristalamiento para edificios mediante un modelo probabilístico de rotura ﻿

Dimensionamiento probabilístico y análisis experimental de vidrios en rotura ﻿

Diseño de un proceso mineralúrgico de concentración de una mena de oligisto para la industria de los pigmentos ﻿

Forecasting SO2 pollution incidents by means of elman artificial neural networks and ARIMA models ﻿

Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions ﻿

A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft Engines ﻿

Predicting changes in induced seismicity on the basis of estimated rock mass energy states ﻿

Predicting the critical superconducting temperature using the random forest, mlp neural network, m5 model tree and multivariate linear regression ﻿

Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques ﻿

The preg-robbing of gold and silver by clays during cyanidation under agitation and heap leaching conditions ﻿

Recuperación de iones cobre por flotación con amilxantato de potasio ﻿

Study of copper fixation mechanisms on Bayer Process Electrostatic precipitator Microparticles (BPEM) using 1H and 27Al NMR spectroscopy ﻿

Technical feasibility of lined mining tunnels in closed coal mines as underground reservoirs of compressed air energy storage systems ﻿

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

Analysis of an interaction problem between an electromagnetic field and an elastic body

Analysis of the influence of forestry environments on the accuracy of GPS measurements by means of recurrent neural networks

Auxiliary ventilation systems in mining and tunnelling: air leakage prediction and system design to optimize the energy efficiency and operation costs

Calculo probabilístico en rotura de acristalamientos mediante utilización de parámetros de fractura

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

Concentration, propagation and dilution of toxic gases in underground excavations under different ventilation modes

Dimensionamiento de placas de acristalamiento para edificios mediante un modelo probabilístico de rotura

Dimensionamiento probabilístico y análisis experimental de vidrios en rotura

Diseño de un proceso mineralúrgico de concentración de una mena de oligisto para la industria de los pigmentos

Forecasting SO2 pollution incidents by means of elman artificial neural networks and ARIMA models

Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions

A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft Engines

Predicting changes in induced seismicity on the basis of estimated rock mass energy states

Predicting the critical superconducting temperature using the random forest, mlp neural network, m5 model tree and multivariate linear regression

Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques

The preg-robbing of gold and silver by clays during cyanidation under agitation and heap leaching conditions

Recuperación de iones cobre por flotación con amilxantato de potasio

Study of copper fixation mechanisms on Bayer Process Electrostatic precipitator Microparticles (BPEM) using 1H and 27Al NMR spectroscopy

Technical feasibility of lined mining tunnels in closed coal mines as underground reservoirs of compressed air energy storage systems