Pombo, I., Cearsolo, X., Sánchez, J.A., Cabanes, I. Experimental and numerical analysis of thermal phenomena in the wear of single point diamond dressing tools, Journal of Manufacturing Processes , vol. 27, pp. 145-157, 2017. JCR Impact Factor: 2.809 (2017). Quartile: 1. https://doi.org/10.1016/j.jmapro.2017.04.001

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Zubizarreta, A. Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs, Applied Soft Computing, vol. 61, pp. 211-221, 2017. JCR Impact Factor: 3.907 (2017). Quartile: Q1. https://doi.org/10.1016/j.asoc.2017.07.048

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Pombo, I. A new approach for dynamic modelling of energy consumption in the grinding process using Recurrent Neural Networks, Neural Computing and Applications, vol. 27, No. 6, pp. 1577-1592, 2016. JCR Impact Factor: 1.569 (2016). Quartile: Q2. https://doi.org/10.1007/s00521-015-1957-1

Cearsolo, X., Cabanes, I., Sánchez, J.A., Pombo, I., Portillo, E. Dry-dressing for ecological grinding, Journal of Cleaner Production, vol. 135, pp. 633-643, 2016. JCR Impact Factor: 5.715 (2016). Quartile: Q1. http://dx.doi.org/10.1016/j.jclepro.2016.06.117

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I. On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks, Communications in Computer and Information Science. Proc. of Engineering Applications of Neural Networks, Rhodes, Greece, 2015. ISBN: 978-3-319-23981-1; 978-3-319-23983-5 (eBook). http://dx.doi.org/10.1007/978-3-319-23983-5_3

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Pombo, I. Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process, Sensors, vol. 14, No. 5, pp. 8756-8778, 2014. JCR Impact Factor: 2.245 (2014). Quartile: Q1. http://www.mdpi.com/1424-8220/14/5/8756

Portillo, E., Cabanes, I., Sánchez, J.A., Orive, D., Ortega, N., Marcos, M. A computer assistant for monitoring tool performance during the drilling process, International Journal of Computer Integrated Manufacturing, vol. 25, No. 9, pp. 829-838, 2012. JCR Impact Factor: 0.944 (2012). Quartile: Q2. http://dx.doi.org/10.1080/0951192X.2012.671540

Portillo, E., Cabanes, I., Sánchez, J.A., Orive, D., Ortega, N., Marcos, M. A case study of a flexible software tool in the drilling process, CESCIT 2012: 1st IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Wúrzburg, Germany, 2012. http://dx.doi.org/10.3182/20120403-3-DE-3010.00025