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Raúl M. del Toro
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2020 – today
- 2024
- [c9]J. Carrascal García, Raúl M. del Toro Matamoros, L. González Rodríguez, Rodolfo Haber-Guerra:
Improvement for Fuel Cell Power Systems by Short Circuit Energy Recovering*. CoDIT 2024: 796-801 - 2023
- [j11]Rajeev Kumar Saha, Raman Kumar, Nikhil Dev, Rajender Kumar, Raman Kumar, Raúl M. del Toro, Sofía Haber, José Ezequiel Naranjo:
Structural modeling and analysis of fuel cell: a graph-theoretic approach. PeerJ Comput. Sci. 9: e1510 (2023)
2010 – 2019
- 2017
- [j10]Antonio Artuñedo
, Raúl M. del Toro
Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks. Sensors 17(5): 953 (2017) - 2016
- [j9]Néstor Lucas Martínez
Communication Range Dynamics and Performance Analysis for a Self-Adaptive Transmission Power Controller. Sensors 16(5): 684 (2016) - [c8]Fernando Castaño
Monitoring tool usage on the basis of sensory information in micro-drilling operations. ICIT 2016: 667-672 - 2015
- [j8]Rodolfo E. Haber
Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process. Comput. Ind. 74: 135-150 (2015) - [j7]Vicente Hernández Díaz, José-Fernán Martínez, Néstor Lucas Martínez
Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks. Sensors 15(9): 24125-24142 (2015) - [c7]Fernando Castaño
Conductance sensor for micromachining. A case study on monitoring tool-workpiece contact. ICIT 2015: 1422-1426 - [c6]Sergii Iarovyi, Jose L. Martinez Lastra
From artificial cognitive systems and open architectures to cognitive manufacturing systems. INDIN 2015: 1225-1232 - [c5]Antonio Artuñedo
Advanced Co-simulation Framework for Cooperative Maneuvers Among Vehicles. ITSC 2015: 1436-1441 - 2014
- [j6]Yuanjiang Huang, Raúl M. del Toro
Connectivity control in WSN based on fuzzy logic control. SIGBED Rev. 11(3): 54-57 (2014) - [c4]Fernando Castaño
Application of hybrid incremental modeling for predicting surface roughness in micromachining processes. CIES 2014: 54-59 - 2013
- [j5]Frank D. Macías-Escrivá, Rodolfo E. Haber
Self-adaptive systems: A survey of current approaches, research challenges and applications. Expert Syst. Appl. 40(18): 7267-7279 (2013) - 2012
- [j4]Agustín Gajate, Rodolfo E. Haber
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process. J. Intell. Manuf. 23(3): 869-882 (2012) - [j3]Francisco Penedo, Rodolfo E. Haber
Hybrid Incremental Modeling Based on Least Squares and Fuzzy $K$-NN for Monitoring Tool Wear in Turning Processes. IEEE Trans. Ind. Informatics 8(4): 811-818 (2012) - [c3]Rodolfo Haber-Guerra, Alfonso Sánchez Boza, Agustín Gajate, Raúl M. del Toro
Modified Shared Circuits Model for Manufacturing Processes Control: - From Psychology and Neuroscience to a Computational Solution. Brain Informatics 2012: 232-242 - 2010
- [j2]Rodolfo E. Haber
Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process. Inf. Sci. 180(14): 2777-2792 (2010) - [j1]Raúl M. del Toro
Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods. Sensors 10(5): 4983-4995 (2010)
2000 – 2009
- 2009
- [c2]Raúl M. del Toro
A Distributed Intelligent Monitoring System Applied to a Micro-scale Turning Process. IWANN (2) 2009: 338-345 - 2007
- [c1]Rodolfo E. Haber, Rodolfo Haber-Haber, Raúl M. del Toro, José R. Alique:
Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process. IWANN 2007: 1155-1162
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