Francisco J. Rodríguez-Lozano

According to our database, Francisco J. Rodríguez-Lozano authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Determination of flowering stage based on artificial intelligence and the daily weight of bee hives.

Andrés Gersnoviez, Francisco J. Rodríguez-Lozano, María Brox, José Moreno-Carbonell, Manuel Agustín Ortiz-López, José M. Flores

Comput. Electron. Agric., 2025

Deep Learning Approaches to Assessing University Students' Health-Related Quality of Life: A Comparative Study of MLP and GNN.

José Luis Ávila-Jiménez, Manuel Rich-Ruiz, Francisco J. Rodríguez-Lozano, Vanesa Cantón-Habas, Sebastián Ventura

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

Distributed Fog computing system for weapon detection and face recognition.

Héctor Martínez, Francisco J. Rodríguez-Lozano, Fernando León-García, José M. Palomares, Joaquín Olivares

J. Netw. Comput. Appl., 2024

Capped honey segmentation in honey combs based on deep learning approach.

Francisco J. Rodríguez-Lozano, Sergio Ruben Geninatti, José M. Flores, Francisco Javier Quiles-Latorre, Manuel Agustín Ortiz-López

Comput. Electron. Agric., 2024

FPGA-Based Bee Counter System.

Francisco Javier Quiles-Latorre, Manuel Agustín Ortiz-López, Francisco J. Rodríguez-Lozano, María Brox, José M. Flores

IEEE Access, 2024

2023

Efficient data dimensionality reduction method for improving road crack classification algorithms.

Francisco J. Rodríguez-Lozano, Juan Carlos Gámez-Granados, José M. Palomares, Joaquín Olivares

Comput. Aided Civ. Infrastructure Eng., November, 2023

An algorithm based on fuzzy ordinal classification to predict students' academic performance.

Juan Carlos Gámez-Granados, Aurora Esteban, Francisco J. Rodríguez-Lozano, Amelia Zafra

Appl. Intell., November, 2023

3D reconstruction system and multiobject local tracking algorithm designed for billiards.

Francisco J. Rodríguez-Lozano, Juan Carlos Gámez-Granados, Héctor Martínez, José M. Palomares, Joaquín Olivares

Appl. Intell., October, 2023

2021

Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library.

Francisco J. Rodríguez-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, José Manuel Soto-Hidalgo, Juan Carlos Gámez-Granados

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

An approach to bridge the gap between ubiquitous embedded devices and JFML: A new module for Internet of Things.

Francisco J. Rodríguez-Lozano, Juan Carlos Gámez-Granados, Oresti Banos, Jesús Alcalá-Fdez, José Manuel Soto-Hidalgo

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Benefits of ensemble models in road pavement cracking classification.

Francisco J. Rodríguez-Lozano, Fernando León-García, Juan Carlos Gámez-Granados, José M. Palomares, Joaquín Olivares

Comput. Aided Civ. Infrastructure Eng., 2020

JKinect: A new Java Software for Designing and Assessing Gross Motor Activities in children with autism based on JFML.

Juan Carlos Gámez-Granados, Francisco J. Rodríguez-Lozano, Giovanni Acampora, Chang-Shing Lee, José Manuel Soto-Hidalgo

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Non-Invasive Forehead Segmentation in Thermographic Imaging.

Francisco J. Rodríguez-Lozano, Fernando León-García, M. Ruiz de Adana, José M. Palomares, Joaquín Olivares

Sensors, 2019

Data Communication Optimization for the Evaluation of Multivariate Conditions in Distributed Scenarios.

Fernando León-García, Francisco J. Rodríguez-Lozano, Joaquín Olivares, José M. Palomares

IEEE Access, 2019

2017

Efficient pavement crack detection and classification.

Antonio Cubero Fernández, Francisco J. Rodríguez-Lozano, Rafael Villatoro, Joaquín Olivares Bueno, José M. Palomares

EURASIP J. Image Video Process., 2017