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)

Data Communication Optimization for the Evaluation of Multivariate Conditions in Distributed Scenarios. - Fernando León-García; Francisco J. Rodríguez-Lozano; Joaquín Olivares 001; José M. Palomares (IEEE Access, 2019)

Non-Invasive Forehead Segmentation in Thermographic Imaging. - Francisco J. Rodríguez-Lozano; Fernando León-García; M. Ruiz de Adana; José M. Palomares; Joaquín Olivares 001 (Sensors, 2019)

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 (FUZZ-IEEE, 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 001 (Comput. Aided Civ. Infrastructure Eng., 2020)

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 (FUZZ-IEEE, 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 (FUZZ-IEEE, 2021)

3D reconstruction system and multiobject local tracking algorithm designed for billiards. - Francisco J. Rodríguez-Lozano; Juan Carlos Gámez-Granados; Héctor Martínez 002; José M. Palomares; Joaquín Olivares 001 (Appl. Intell., 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., 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 001 (Comput. Aided Civ. Infrastructure Eng., 2023)

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)

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)

Distributed Fog computing system for weapon detection and face recognition. - Héctor Martínez 002; Francisco J. Rodríguez-Lozano; Fernando León-García; José M. Palomares; Joaquín Olivares 001 (J. Netw. Comput. Appl., 2024)

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 (CBMS, 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)