Dr. Gerardo Beruvides
Dr. Gerardo Beruvides
Hitachi Europe GmbH
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Multi-objective optimization based on an improved cross-entropy method. A case study of a micro-scale manufacturing process
G Beruvides, R Quiza, RE Haber
Information Sciences 334, 161-173, 2016
Automatic selection of optimal parameters based on simple soft-computing methods: a case study of micromilling processes
I la Fé-Perdomo, G Beruvides, R Quiza, R Haber, M Rivas
IEEE Transactions on Industrial Informatics 15 (2), 800-811, 2018
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
Obstacle recognition based on machine learning for on-chip LiDAR sensors in a cyber-physical system
F Castaņo, G Beruvides, RE Haber, A Artuņedo
Sensors 17 (9), 2109, 2017
A simple multi-objective optimization based on the cross-entropy method
RE Haber, G Beruvides, R Quiza, A Hernandez
Ieee Access 5, 22272-22281, 2017
Cloud-based industrial cyber–physical system for data-driven reasoning: A review and use case on an industry 4.0 pilot line
A Villalonga, G Beruvides, F Castano, RE Haber
IEEE Transactions on Industrial Informatics 16 (9), 5975-5984, 2020
Self-tuning method for increased obstacle detection reliability based on internet of things LiDAR sensor models
F Castaņo, G Beruvides, A Villalonga, RE Haber
Sensors 18 (5), 1508, 2018
Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes
G Beruvides, F Castaņo, R Quiza, RE Haber
Measurement 86, 246-252, 2016
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
Towards the adoption of cyber-physical systems of systems paradigm in smart manufacturing environments
BR Ferrer, WM Mohammed, JLM Lastra, A Villalonga, G Beruvides, ...
2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018
Coping with complexity when predicting surface roughness in milling processes: Hybrid incremental model with optimal parametrization
G Beruvides, F Castaņo, RE Haber, R Quiza, A Villalonga
Complexity 2017, 2017
Industrial cyber-physical system for condition-based monitoring in manufacturing processes
A Villalonga, G Beruvides, F Castaņo, R Haber
2018 IEEE Industrial Cyber-Physical Systems (ICPS), 637-642, 2018
Online detection of run out in microdrilling of tungsten and titanium alloys
G Beruvides, R Quiza, M Rivas, F Castaņo, RE Haber
The International Journal of Advanced Manufacturing Technology 74 (9), 1567-1575, 2014
A self-learning strategy for artificial cognitive control systems
G Beruvides, C Juanes, F Castaņo, RE Haber
2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 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 Castaņo, RE Haber
International Journal of Precision Engineering and Manufacturing 15 (9 …, 2014
Computer vision system for welding inspection of liquefied petroleum gas pressure vessels based on combined digital image processing and deep learning techniques
YJ Cruz, M Rivas, R Quiza, G Beruvides, RE Haber
Sensors 20 (16), 4505, 2020
Conductance sensing for monitoring micromechanical machining of conductive materials
F Castaņo, RM del Toro, RE Haber, G Beruvides
Sensors and Actuators A: Physical 232, 163-171, 2015
Condition-based monitoring architecture for CNC machine tools based on global knowledge
A Villalonga, G Beruvides, F Castaņo, RE Haber, M Novo
IFAC-PapersOnLine 51 (11), 200-204, 2018
Fault pattern identification in multi-stage assembly processes with non-ideal sheet-metal parts based on reinforcement learning architecture
G Beruvides, A Villalonga, P Franciosa, D Ceglarek, RE Haber
Procedia Cirp 67, 601-606, 2018
Modeling and optimization of mechanical systems and processes
R Quiza, G Beruvides, JP Davim
Modern mechanical engineering, 169-198, 2014
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