Intelligent manufacturing and industry
Niño, I., Manjarres, D., Landa, I., Portillo, E. Feature weighting methods: A review, Experts Systems with Applications,
vol. 184, pp. 115424, 2021. JCR Impact Factor: 8.665 (2021). Quartile: 1.
https://doi.org/10.1016/j.eswa.2021.115424
Niño, I., Portillo, E., Landa, I., Manjarres, D. Normalisation influence on ANN-based models performance: a new proposal for features' contribution analysis, IEEE Access,
vol. 9, pp. 125462-125477, 2021. JCR Impact Factor: 3.476 (2021). Quartile: 2.
https://doi.org/10.1109/ACCESS.2021.3110647
Flores, J., , I., Cabanes, I. Thermal monitoring and control by infrared camera in the manufacture of parts with laser metal deposition, Dyna,
vol. 95, No. 4, pp. 9379, 2020. JCR Impact Factor: 1.113 (2020). Quartile: Q4.
http://dx.doi.org/10.6036/9379
Arriandiaga, A., Portillo, E., Espinosa-Ramos, I., Kasabov, N. Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data, IEEE Transactions on Neural Networks and Learning Systems ,
vol. 31, No. 10, pp. 3920-3931, 2020. JCR Impact Factor: 10.45 (2020). Quartile: 1.
https://doi.org/10.1109/TNNLS.2019.2947380
Parra, A., Zubizarreta, A., Perez, J. A comparative study of the effect of Intelligent Control based Torque Vectoring Systems on EVs with different powertrain architectures, 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, Nueva Zelanda, 2019.
ISBN: 978-1-5386-7023-1.
https://doi.org/10.1109/ITSC.2019.8917381
Navajas, A., Manjarres, D., Portillo, E., Landa, I. A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), Sevilla, España, 2019.
https://link.springer.com/chapter/10.1007/978-3-030-20055-8_17
Niño, I., Landa, I., Portillo, E., Manjarres, D. Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy , 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), Sevilla, España, 2019.
https://link.springer.com/chapter/10.1007/978-3-030-20055-8_2
Conde, A., Arriandiaga, A., Sánchez, J.A., Portillo, E., Cabanes, I. High-accuracy Wire Electrical Discharge Machining using Artificial Neural Networks and optimization techniques, Robotics and Computer-Integrated Manufacturing,
vol. 49, pp. 24-38, 2018. JCR Impact Factor: 4.392 (2018). Quartile: 1.
https://doi.org/10.1016/j.rcim.2017.05.010