Evaluation of Fresnel integrals based on the continued fractions method. - J. L. Bastardo; S. Abraham Ibrahim; Pedro Fernández de Córdoba; Javier F. Urchueguía Schölzel; Yu. L. Ratis (Appl. Math. Lett., 2005)

Introductory quantum physics courses using a LabVIEW multimedia module. - Ismael Orquín; Miguel A. García-March; Pedro Fernández de Córdoba; Javier F. Urchueguía; Juan A. Monsoriu (Comput. Appl. Eng. Educ., 2007)

Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium. - Arnau Montagud; Emilio Navarro; Pedro Fernández de Córdoba; Javier F. Urchueguía; Kiran Raosaheb Patil (BMC Syst. Biol., 2010)

Automation on the Generation of Genome-Scale Metabolic Models. - R. Reyes; Daniel Gamermann; Arnau Montagud; David Fuente; Julián Triana; Javier F. Urchueguía Schölzel; Pedro Fernández de Córdoba (J. Comput. Biol., 2012)

New Approach for Phylogenetic Tree Recovery Based on Genome-Scale Metabolic Networks. - Daniel Gamermann; Arnau Montagud; J. Alberto Conejero; Javier F. Urchueguía; Pedro Fernández de Córdoba (J. Comput. Biol., 2014)

A Cooperative Agent-Based Management Tool Proposal to Quantify GHG Emissions at Local Level. - Edgar Lorenzo-Sáez; José-Vicente Oliver-Villanueva; Jorge E. Luzuriaga; Miguel Ángel Mateo Pla; Javier F. Urchueguía; Lenin-G. Lemus-Zúñiga (KES-AMSTA, 2018)

Exploration with Process Mining on How Temperature Change Affects Hospital Emergency Departments. - Juan José Lull; Onur Dogan 001; Angeles Celda; Jesús Mandingorra; Lenin Lemus; Miguel Ángel Mateo Pla; Javier F. Urchueguía; Gema Ibáñez-Sánchez; Vicente Traver 001; Carlos Fernández-Llatas (ICPM Workshops, 2020)

Estimation of Green House Gas and Contaminant Emissions from Traffic by microsimulation and refined Origin-Destination matrices: a methodological approach. - Jorge Eloy Luzuriaga Quichimbo; Juan-Antonio Moreno-Perez; Edgar Lorenzo-Sáez; Santiago Mira Prats; Javier Fermín Urchueguía Schölzel; Lenin Guillermo Lemus Zúñiga; José-Vicente Oliver-Villanueva; Miguel Ángel Mateo Pla (SUMO, 2020)

Predicting the traffic flux in the city of Valencia with Deep Learning. - Miguel G. Folgado; Verónica Sanz; Johannes Hirn; Edgar G. Lorenzo; Javier F. Urchueguía (CoRR, 2022)

Establishing a real-time traffic alarm in the city of Valencia with Deep Learning. - Miguel G. Folgado; Verónica Sanz; Johannes Hirn; Edgar Lorenzo-Sáez; Javier F. Urchueguía (CoRR, 2023)

Deep learning for urban air quality: a traffic-based prediction and alert system for Valencia. - Miguel G. Folgado; Verónica Sanz; Johannes Hirn; Edgar Lorenzo-Sáez; Javier F. Urchueguía (Neural Comput. Appl., 2025)