Listar por autor "García Pérez, Diego"

Bancada para análisis inteligente de datos en monitorización de salud estructural

Pérez López, Daniel

; García Pérez, Diego

; Díaz Blanco, Ignacio

; Cuadrado Vega, Abel Alberto

(Servicio de Publicaciones de la Universidad de Oviedo, 2017)

(Grupo de Supervisión y Diagnósticos de procesos, 2019-11-12)

Desarrollo de laboratorios virtuales en entorno Matlab/Simulink para docencia en control

Pardo Fernández, Alejandro (2023-06-21)

Design of a Vibration Data Acquisition System for a Structural Health Monitoring Test Bench

Arnaiz Burgueño, Roberto (2019-06-25)

Diseño e implementación de técnicas de Machine Learning para la detección de defectos superficiales en piezas sometidas a procesos de estampado o fundición

García Peña, Daniel (2021-02-17)

Energy disaggregation techniques for visualization and improvement of energy efficiency in processes and buildings

García Pérez, Diego

(2021-06-22)

Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction

Díaz Blanco, Ignacio

; Enguita González, José María

; Cuadrado Vega, Abel Alberto

; García Pérez, Diego

; González Muñiz, Ana

; Valdés, Nuria; Chiara Romero, María Dolores

(IEEE, 2023)

Exploring deep fully convolutional neural networks for surface defect detection in complex geometries

García Peña, Daniel; García Pérez, Diego

; Díaz Blanco, Ignacio

; Marina Juárez, Jorge

(2024-09)

Fully-convolutional denoising auto-encoders for NILM in large non-residential buildings

García Pérez, Diego

; Pérez López, Daniel

; Díaz Blanco, Ignacio

; González Muñiz, Ana

; Domínguez González, Manuel; Cuadrado Vega, Abel Alberto

(2021)

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

González Muñiz, Ana

; Díaz Blanco, Ignacio

; Cuadrado Vega, Abel Alberto

; García Pérez, Diego

(2022)

Interactive data visualization of chatter conditions in a cold rolling mill

Pérez López, Daniel

; Díaz Blanco, Ignacio

; Cuadrado Vega, Abel Alberto

; Rendueles, José Luis; García Pérez, Diego

(Elsevier, 2018-12)

Interactive dimensionality reduction of large datasets using interpolation

Díaz Blanco, Ignacio

; Pérez López, Daniel

; Cuadrado Vega, Abel Alberto

; García Pérez, Diego

; Domínguez González, Manuel (2018)

Interactive visualization for NILM in large buildings using non-negative matrix factorization

García Pérez, Diego

; Díaz Blanco, Ignacio

; Pérez López, Daniel

; Cuadrado Vega, Abel Alberto

; Domínguez González, Manuel; Morán, Antonio (Elsevier, 2018-10)

Latent variable analysis in hospital electric power demand using non-negative matrix factorization

García Pérez, Diego

; Díaz Blanco, Ignacio

; Pérez García, Daniel

; Cuadrado Vega, Abel Alberto

; Domínguez González, Manuel (i6doc.com publication, 2017)

Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview

García Pérez, Diego

; Saeed Hazkial Gerges, Mariam

; Díaz Blanco, Ignacio

; Enguita González, José María

; Guerrero Muñoz, Juan Manuel

; Briz del Blanco, Fernando

(IEEE, 2024)

Mejora de la eficiencia computacional de técnicas machine learning para la detección temprana de defectos superficiales en piezas sometidas a procesos de fundición y estampado de chapa

Mon Bianco, Jaime Philip (2022-02-17)

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets

Díaz Blanco, Ignacio

; Enguita González, José María

; González Muñiz, Ana

; García Pérez, Diego

; Cuadrado Vega, Abel Alberto

; Chiara, María D.; Valdés, Nuria (2021)

Principal component modes of reservoir Dynamics in reservoir computing

Enguita González, José María

; Díaz Blanco, Ignacio

; García Pérez, Diego

; Cuadrado Vega, Abel Alberto

; Rodríguez, José Ramón (2023)

Listar por autor "García Pérez, Diego"

Bancada para análisis inteligente de datos en monitorización de salud estructural ﻿

Conditioned fully convolutional denoising autoencoder for multi- target NILM ﻿

Conditioned fully convolutional denoising autoencoder for energy disaggregation ﻿

Dataicann: datos de vibración y corriente de un motor de inducción ﻿

Desarrollo de laboratorios virtuales en entorno Matlab/Simulink para docencia en control ﻿

Design of a Vibration Data Acquisition System for a Structural Health Monitoring Test Bench ﻿

Diseño e implementación de técnicas de Machine Learning para la detección de defectos superficiales en piezas sometidas a procesos de estampado o fundición ﻿

Energy disaggregation techniques for visualization and improvement of energy efficiency in processes and buildings ﻿

Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction ﻿

Exploring deep fully convolutional neural networks for surface defect detection in complex geometries ﻿

Fully-convolutional denoising auto-encoders for NILM in large non-residential buildings ﻿

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder ﻿

Interactive data visualization of chatter conditions in a cold rolling mill ﻿

Interactive dimensionality reduction of large datasets using interpolation ﻿

Interactive visualization for NILM in large buildings using non-negative matrix factorization ﻿

Latent variable analysis in hospital electric power demand using non-negative matrix factorization ﻿

Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview ﻿

Mejora de la eficiencia computacional de técnicas machine learning para la detección temprana de defectos superficiales en piezas sometidas a procesos de fundición y estampado de chapa ﻿

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets ﻿

Principal component modes of reservoir Dynamics in reservoir computing ﻿

Bancada para análisis inteligente de datos en monitorización de salud estructural

Conditioned fully convolutional denoising autoencoder for multi- target NILM

Conditioned fully convolutional denoising autoencoder for energy disaggregation

Dataicann: datos de vibración y corriente de un motor de inducción

Desarrollo de laboratorios virtuales en entorno Matlab/Simulink para docencia en control

Design of a Vibration Data Acquisition System for a Structural Health Monitoring Test Bench

Diseño e implementación de técnicas de Machine Learning para la detección de defectos superficiales en piezas sometidas a procesos de estampado o fundición

Energy disaggregation techniques for visualization and improvement of energy efficiency in processes and buildings

Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction

Exploring deep fully convolutional neural networks for surface defect detection in complex geometries

Fully-convolutional denoising auto-encoders for NILM in large non-residential buildings

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

Interactive data visualization of chatter conditions in a cold rolling mill

Interactive dimensionality reduction of large datasets using interpolation

Interactive visualization for NILM in large buildings using non-negative matrix factorization

Latent variable analysis in hospital electric power demand using non-negative matrix factorization

Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview

Mejora de la eficiencia computacional de técnicas machine learning para la detección temprana de defectos superficiales en piezas sometidas a procesos de fundición y estampado de chapa

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets

Principal component modes of reservoir Dynamics in reservoir computing