| Self-adaptive systems: A survey of current approaches, research challenges and applications FD Macías-Escrivá, R Haber, R Del Toro, V Hernandez Expert Systems with Applications 40 (18), 7267-7279, 2013 | 221 | 2013 |
| Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process A Gajate, R Haber, R Del Toro, P Vega, A Bustillo Journal of Intelligent Manufacturing 23 (3), 869-882, 2012 | 90 | 2012 |
| Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process RE Haber, RM del Toro, A Gajate Information Sciences 180 (14), 2777-2792, 2010 | 86 | 2010 |
| Sensoring systems and signal analysis to monitor tool wear in microdrilling operations on a sintered tungsten–copper composite material G Beruvides, R Quiza, R del Toro, RE Haber Sensors and Actuators A: Physical 199, 165-175, 2013 | 56 | 2013 |
| Hybrid Incremental Modeling Based on Least Squares and Fuzzy-NN for Monitoring Tool Wear in Turning Processes F Penedo, RE Haber, A Gajate, RM del Toro IEEE transactions on industrial informatics 8 (4), 811-818, 2012 | 52 | 2012 |
| System identification of the high performance drilling process for network-based control RM del Toro, MC Schmittdiel, RE Haber-Guerra, R Haber-Haber International Design Engineering Technical Conferences and Computers and …, 2007 | 52 | 2007 |
| Optimal tuning of a networked linear controller using a multi-objective genetic algorithm and its application to one complex electromechanical process D Martin, R Del Toro, R Haber, J Dorronsoro International Journal of Innovative Computing, Information and Control 5 (10 …, 2009 | 50 | 2009 |
| A classic solution for the control of a high-performance drilling process R Haber-Haber, R Haber, M Schmittdiel, RM del Toro International Journal of Machine Tools and Manufacture 47 (15), 2290-2297, 2007 | 45 | 2007 |
| From artificial cognitive systems and open architectures to cognitive manufacturing systems S Iarovyi, JLM Lastra, R Haber, R del Toro 2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015 | 41 | 2015 |
| Fuzzy modeling and control: theory and applications F Matía, GN Marichal, E Jiménez Atlantis Press, 2014 | 31 | 2014 |
| Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process RE Haber, C Juanes, R del Toro, G Beruvides Computers in Industry 74, 135-150, 2015 | 28 | 2015 |
| Correlation of the holes quality with the force signals in a microdrilling process of a sintered tungsten-copper alloy G Beruvides, R Quiza, R del Toro, F Castaño, RE Haber International Journal of Precision Engineering and Manufacturing 15 (9 …, 2014 | 21 | 2014 |
| Using simulated annealing for optimal tuning of a PID controller for time-delay systems. An application to a high-performance drilling process RE Haber, R Haber-Haber, RM Del Toro, JR Alique International Work-Conference on Artificial Neural Networks, 1155-1162, 2007 | 21 | 2007 |
| Consensus-based cooperative control based on pollution sensing and traffic information for urban traffic networks A Artuñedo, RM Del Toro, RE Haber Sensors 17 (5), 953, 2017 | 16 | 2017 |
| Conductance sensing for monitoring micromechanical machining of conductive materials F Castaño, RM del Toro, RE Haber, G Beruvides Sensors and Actuators A: Physical 232, 163-171, 2015 | 15 | 2015 |
| Advanced co-simulation framework for cooperative maneuvers among vehicles A Artunedo, J Godoy, R Haber, J Villagrá, RM del Toro 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 10 | 2015 |
| Self-adaptive strategy based on fuzzy control systems for improving performance in wireless sensors networks VH Díaz, JF Martínez, NL Martínez, RM Del Toro Sensors 15 (9), 24125-24142, 2015 | 9 | 2015 |
| Detecting nano-scale vibrations in rotating devices by using advanced computational methods RM Del Toro, RE Haber, MC Schmittdiel Sensors 10 (5), 4983-4995, 2010 | 9 | 2010 |
| Characterization of tool-workpiece contact during the micromachining of conductive materials F Castaño, RE Haber, RM del Toro Mechanical Systems and Signal Processing 83, 489-505, 2017 | 7 | 2017 |
| Application of hybrid incremental modeling for predicting surface roughness in micromachining processes F Castaño, RE Haber, RM del Toro, G Beruvides 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions …, 2014 | 7 | 2014 |
Dr. Gerardo BeruvidesHitachi Europe GmbHVerified email at hitachi-eu.com
