Navegação DEP71 - Artículos de revista por autor "Aguiar Pérez, Javier Manuel"

A Deep Learning Image System for Classifying High Oleic Sunflower Seed Varieties

Barrio Conde, Mikel; Zanella, Marco Antonio; Aguiar Pérez, Javier Manuel

; Ruiz González, Rubén

; Gómez Gil, Jaime

(2023)

A self-adaptive automatic incident detection system for road surveillance based on deep learning

Bartolomé Hornillos, César; San José Revuelta, Luis Miguel

; Aguiar Pérez, Javier Manuel

; García Serrada, Carlos; Vara Pazos, Eduardo; Casaseca de la Higuera, Juan Pablo

(2024)

A semantic autonomous video surveillance system for dense camera networks in smart cities

Calavia, Lorena; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2012)

A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Cook, Diane J.; Chinarro, David; Gómez Sanz, Jorge (2012)

An insight of deep learning based demand forecasting in smart grids

Aguiar Pérez, Javier Manuel

; Pérez Juárez, María Ángeles

(2023)

An intelligent surveillance platform for large metropolitan areas with dense sensor deployment

Fernández, Jorge; Calavia, Lorena; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Alonso López, Jesús; Smilansky, Zeev (2013)

Aplicaciones de las realidades extendidas en cardiología intervencionista: la realidad mixta aplicada al procedimiento TAVI

Redondo Diéguez, Alfredo; Baldrón García, Carlos; Aguiar Pérez, Javier Manuel

; González Juanatey, José Ramón; San Román Calvar, José Alberto

; Amat Santos, Ignacio Jesús

(2022)

Application of mixed reality to ultrasound-guided femoral arterial cannulation during real-time practice in cardiac interventions

Alonso Felipe, Miguel; Aguiar Pérez, Javier Manuel

; Pérez Juárez, María Ángeles

; Baladrón García, Carlos

; Peral Oliveira, Julio; Amat Santos, Ignacio Jesús

(2023)

Artificial neural network for short-term load forecasting in distribution systems

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Pérez, Francisco; Fernández, Ángel; Lloret, Jaime (2014)

Classification and clustering of electricity demand patterns in industrial parks

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2012)

Digital distractions from the point of view of higher education students

Pérez Juárez, María Ángeles

; González Ortega, David

; Aguiar Pérez, Javier Manuel

(2023)

Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; García, Pablo; Lloret, Jaime (2013)

Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Sanjuán, Javier; González, Álvaro; Lloret, Jaime (2013)

Performance study of the application of artificial neural networks to the completion and prediction of data retrieved by underwater sensors

Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Hernández Callejo, Luis

(2012)

Short-term load forecasting for microgrids based on artificial neural networks

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Lloret, Jaime (2013)

Smoke detection in images through fractal dimension-based binary classification

Pozo Velázquez, Javier del; Aguiar Pérez, Javier Manuel

; Chamorro Posada, Pedro

; Pérez Juárez, María Ángeles

; Wang, Xinheng; Casaseca de la Higuera, Juan Pablo

; Del-Pozo-Velázquez, Javier; Aguiar-Pérez, Javier Manuel; Chamorro-Posada, Pedro; Pérez-Juárez, María Ángeles; Casaseca-de-la-Higuera, Pablo (2025)

Temperature and relative humidity estimation and prediction in the tobacco drying process using artificial neural networks

Martínez Martínez, Víctor; Baladrón García, Carlos

; Gómez Gil, Jaime

; Ruiz Ruiz, Gonzalo; Navas Gracia, Luis Manuel

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

(2012)

Tool for filtering PubMed search results by sample size

Baladrón García, Carlos

; Santos Lozano, Alejandro; Aguiar Pérez, Javier Manuel

; Lucía, Alejandro; Martín Hernández, Juan (2018)

Water detection in satellite images based on fractal dimension

Del Pozo Velázquez, Javier; Chamorro Posada, Pedro

; Aguiar Pérez, Javier Manuel

; Pérez Juárez, María Ángeles

; Casaseca de la Higuera, Juan Pablo

(2022)

Navegação DEP71 - Artículos de revista por autor "Aguiar Pérez, Javier Manuel"

A Deep Learning Image System for Classifying High Oleic Sunflower Seed Varieties ﻿

A self-adaptive automatic incident detection system for road surveillance based on deep learning ﻿

A semantic autonomous video surveillance system for dense camera networks in smart cities ﻿

A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework ﻿

An insight of deep learning based demand forecasting in smart grids ﻿

An intelligent surveillance platform for large metropolitan areas with dense sensor deployment ﻿

Aplicaciones de las realidades extendidas en cardiología intervencionista: la realidad mixta aplicada al procedimiento TAVI ﻿

Application of mixed reality to ultrasound-guided femoral arterial cannulation during real-time practice in cardiac interventions ﻿

Artificial neural network for short-term load forecasting in distribution systems ﻿

Classification and clustering of electricity demand patterns in industrial parks ﻿

Digital distractions from the point of view of higher education students ﻿

Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks ﻿

Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment ﻿

Performance study of the application of artificial neural networks to the completion and prediction of data retrieved by underwater sensors ﻿

Short-term load forecasting for microgrids based on artificial neural networks ﻿

Smoke detection in images through fractal dimension-based binary classification ﻿

Temperature and relative humidity estimation and prediction in the tobacco drying process using artificial neural networks ﻿

Tool for filtering PubMed search results by sample size ﻿

Water detection in satellite images based on fractal dimension ﻿

A Deep Learning Image System for Classifying High Oleic Sunflower Seed Varieties

A self-adaptive automatic incident detection system for road surveillance based on deep learning

A semantic autonomous video surveillance system for dense camera networks in smart cities

A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework

An insight of deep learning based demand forecasting in smart grids

An intelligent surveillance platform for large metropolitan areas with dense sensor deployment

Aplicaciones de las realidades extendidas en cardiología intervencionista: la realidad mixta aplicada al procedimiento TAVI

Application of mixed reality to ultrasound-guided femoral arterial cannulation during real-time practice in cardiac interventions

Artificial neural network for short-term load forecasting in distribution systems

Classification and clustering of electricity demand patterns in industrial parks

Digital distractions from the point of view of higher education students

Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks

Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment

Performance study of the application of artificial neural networks to the completion and prediction of data retrieved by underwater sensors

Short-term load forecasting for microgrids based on artificial neural networks

Smoke detection in images through fractal dimension-based binary classification

Temperature and relative humidity estimation and prediction in the tobacco drying process using artificial neural networks

Tool for filtering PubMed search results by sample size

Water detection in satellite images based on fractal dimension