FASANT: A Versatile Tool to Analyze Radio Localization System at Indoor or Outdoor Environments. - Lorena Lozano; María Jesús Algar; Iván González Diego; M. Felipe Cátedra (DCAI, 2010)

Dynamic Propagation Analysis in Urban Environments. - María Jesús Algar; Iván González Diego; Lorena Lozano; María Fernández; Gabriel Caballero; M. Felipe Cátedra (PAAMS (Workshops), 2013)

Characterization of the Radio Propagation Channel in a Real Scenario. - María Jesús Algar; Iván González Diego; Lorena Lozano; M. Felipe Cátedra (PAAMS (Workshops), 2013)

A study of the efficiency of the parallelization of a high frequency electromagnetic approach for the computation of radiation and scattering considering multiple bounces. - Eliseo García; Lorena Lozano; María Jesús Algar; M. Felipe Cátedra (Comput. Phys. Commun., 2013)

Efficient combination of acceleration techniques applied to high frequency methods for solving radiation and scattering problems. - Lorena Lozano; María Jesús Algar; Eliseo García; Iván González 003; M. Felipe Cátedra (Comput. Phys. Commun., 2017)

An efficient hybrid technique in RCS predictions of complex targets at high frequencies. - María Jesús Algar; Lorena Lozano; Javier Morneo; Iván González Diego; M. Felipe Cátedra (J. Comput. Phys., 2017)

A Quality of Experience Management Framework for Mobile Users. - María Jesús Algar; Isaac Martín de Diego; Alberto Fernández-Isabel; Miguel Ángel Monjas; Felipe Ortega; Javier M. Moguerza; Hektor Jacynycz (Wirel. Commun. Mob. Comput., 2019)

New Commercial Representation for Cattle Information Gathering. - Jorge Navarro 006; Isaac Martín de Diego; Karen Príncipe-Aguirre; María Jesús Algar (ICPRAM, 2020)

Analysis of Accelerometer and GPS Data for Cattle Behaviour Identification and Anomalous Events Detection. - Javier Cabezas; Roberto Yubero; Beatriz Visitación; Jorge Navarro-García; María Jesús Algar; Emilio L. Cano; Felipe Ortega (Entropy, 2022)

Biographies of literature writers. - Javier Gomez 003; César Alfaro; Felipe Ortega; María Jesús Algar; Javier M. Moguerza (IEEE DataPort, 2022)

Unconventional application of k-means for distributed approximate similarity search. - Felipe Ortega; María Jesús Algar; Isaac Martín de Diego; Javier M. Moguerza (Inf. Sci., 2023)

Using k-medoids for distributed approximate similarity search with arbitrary distances. - Elena García-Morato; María Jesús Algar; César Alfaro; Felipe Ortega; Javier Gomez 003; Javier M. Moguerza (CoRR, 2024)