Research Areas :: Publications

Intelligent manufacturing and industry

Lucas, S., Portillo, E. Methodology based on spiking neural networks for univariate time-series forecasting, Neural Networks, vol. 173, No. 106171, pp. 1-22, 2024. JCR Impact Factor: 7.8 (2024). Quartile: Q1. https://doi.org/10.1016/j.neunet.2024.106171
Ibañez, I., Sanchez-Ruiz, A., Perez-Basante, A., Zubizarreta, A., Ceballos, S. Real Time Selective Harmonic Control - PWM Based on Artificial Neural Networks, IEEE Transactions on Power Electronics, vol. 39, No. 1, pp. 768-783, 2024. JCR Impact Factor: 6.7 (2022). Quartile: Q1. https://doi.org/10.1109/TPEL.2023.3322500
Navajas, A., Portillo, E., Manjarres, D. PLAHS: A Partial Labelling Autonomous Hyper-Heuristic System for Industry 4.0 with Application on Classification of Cold Stamping Process, Applied Soft Computing, No. 110718, pp. 1-48, 2023. JCR Impact Factor: 8.7 (2022). Quartile: 1. https://doi.org/10.1016/j.asoc.2023.110718
Rogriguez, D., Mosca, A., Valente, A., Cabanes, I., Carpanzano, E. An advanced dual APF-Based controller for efficient simultaneous collision and singularity avoidance for human-robot collaborative assembly processes, CIRP Annals Manufacturing Technology, vol. 72, No. 1, pp. 5-8, 2023. JCR Impact Factor: 4.482 (2022). Quartile: Q2. https://doi.org/10.1016/j.cirp.2023.04.037
Lucas, S., Portillo, E., Guerin, L., Cabanes, I. Extensión del algoritmo de codificación-decodificación basado en PWM para Redes Neuronales de Impulsos, XLIV Jornadas de Automática, Zaragoza, 2023. Premio al mejor artículo presentado en el grupo temático de Control Inteligente. https://doi.org/10.17979/spudc.9788497498609.168
Portillo, E., Zubizarreta, A., Cabanes, I. Aplicación de redes neuronales artificiales para la detección de anomalías en el proceso de electroerosión por hilo, Inteligencia Artificial y Sistemas Cognitivos. Aplicaciones de IA en el ámbito Industrial., pp. 1-35, UNIDIGITAL_IASAC , 2023. https://unidigitaliasac.unizar.es/ficha/aplicacion-de-redes-neuronales-artificiales-para-la-deteccion-de-anomalias-en-el-proceso-de
Rodriguez-Arozamena, M., Aranguren-Mendieta, I., Perez, J., Zubizarreta, A. Fail-Safe Decision Architecture for Positioning Failures on Automated Vehicles, IEEE Autonomous and Trusted vehicles Conference (ATC 2023), Portsmouth, UK, 2023. https://zenodo.org/doi/10.5281/zenodo.8300746
Navajas, A., Manjarres, D., Portillo, E., Landa, I. A Hyper-heuristic Inspired Approach for Automatic Failure Prediction in the Context of Industry 4.0., Computers & Industrial Engineering, vol. 171, No. 108381, pp. 1-19, 2022. JCR Impact Factor: 7.9 (2022). Quartile: 1. https://doi.org/10.1016/j.cie.2022.108381
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