2024

Modesto-Mata, M., Valentín, L. de la F., Hlusko, L. J., Pinillos, M. M. de, Towle, I., García-Campos, C., Martinón-Torres, M., & Castro, J. M. B. de. (2024). Artificial neural networks reconstruct missing perikymata in worn teeth. The Anatomical Record, 307(9), 3120–3138. https://doi.org/10.1002/AR.25416

ver más

2023

Das, S. K., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2023). A non-linear multi-objective technique for hybrid peer-to-peer communication. INFORMATION SCIENCES, 629, 413–439. https://doi.org/10.1016/j.ins.2023.01.117

Khari, M., Crespo, R. G., & Sharma, H. (2023). Gue [...]

| ver más

2022

Gil Del Val, A., Penalva, M., Veiga, F., & Iriondo, E. (2022). Quality monitoring of blind fasteners installation: An approach from the manufacturing chain and visual analytics. In IFAC PAPERSONLINE (Vol. 55, Issues 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS) CL-Tel Aviv, ISRAEL PU-ELSEVIER PI-AMSTERDAM PA-RADARWEG 29a, [...]

| ver más

2021

Arias, S. A., Moreno-Ger, P., & Verdu, E. (2021). Hierarchical Clustering to Identify Emotional Human Behavior in Online Classes: The Teacher’s Point of View. In Lecture Notes in Networks and Systems (Vol. 186). https://doi.org/10.1007/978-3-030-66093-2_26 Perez, E. V. (2021). Foreword. In EAI/Springer Innovations in Communication and Computing. Pasupa [...]

| ver más

2020

F. I. Chicharro; R. A. Contreras; N. Garrido. A Family of Multiple-Root Finding Iterative Methods Based on Weight Functions. Mathematics, 8, ID 2194, 2020. doi: 10.3390/math8122194 F. I. Chicharro; A. Cordero; N. Garrido; J. R. Torregrosa. On the choice of the best members of the [...]

| ver más