Ramón Quiza
Ramón Quiza
Andere namenRamón Quiza Sardiñas
Professor of Mechanical Engineering, University of Matanzas (Cuba)
Geverifieerd e-mailadres voor umcc.cu - Homepage
Geciteerd door
Geciteerd door
Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes
R Quiza, M Rivas, E Alfonso
Engineering Applications of Artificial Intelligence 19 (2), 127-133, 2006
Multi-objective optimization of cutting parameters for drilling laminate composite materials by using genetic algorithms
R Quiza, P Reis, JP Davim
Composites Science and Technology 66 (15), 3083-3088, 2006
Comparing statistical models and artificial neural networks on predicting the tool wear in hard machining D2 AISI steel
R Quiza, L Figueira, J Paulo Davim
The International Journal of Advanced Manufacturing Technology 37, 641-648, 2008
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
Digital twin-based optimization for ultraprecision motion systems with backlash and friction
RH Guerra, R Quiza, A Villalonga, J Arenas, F Castano
IEEE Access 7, 93462-93472, 2019
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
Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes
G Beruvides, F Castaño, R Quiza, RE Haber
Measurement 86, 246-252, 2016
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
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
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
Coping with complexity when predicting surface roughness in milling processes: hybrid incremental model with optimal parametrization
G Beruvides, F Castaño, RE Haber, R Quiza, A Villalonga
Complexity 2017, 2017
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process
YJ Cruz, M Rivas, R Quiza, A Villalonga, RE Haber, G Beruvides
Computers in Industry 133, 103530, 2021
Computational methods and optimization
R Quiza, JP Davim
Machining of hard materials, 177-208, 2011
Online detection of run out in microdrilling of tungsten and titanium alloys
G Beruvides, R Quiza, M Rivas, F Castaño, RE Haber
The International Journal of Advanced Manufacturing Technology 74, 1567-1575, 2014
Forecasting of wave energy in Canary Islands based on artificial intelligence
D Avila, GN Marichal, I Padrón, R Quiza, Á Hernández
Applied Ocean Research 101, 102189, 2020
Hybrid modeling and optimization of manufacturing: Combining artificial intelligence and finite element method
R Quiza, O López-Armas, JP Davim
Springer Science & Business Media, 2012
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, 1801-1808, 2014
Multi-objective optimisation of multipass turning by using a genetic algorithm
R Quiza, JE Albelo, JP Davim
International Journal of Materials and Product Technology 35 (1-2), 134-144, 2009
Sustainability-focused multi-objective optimization of a turning process
I La Fé Perdomo, R Quiza, D Haeseldonckx, M Rivas
International Journal of Precision Engineering and Manufacturing-Green …, 2020
Towards sustainability of manufacturing processes by multiobjective optimization: A case study on a submerged arc welding process
D Rivas, R Quiza, M Rivas, RE Haber
IEEE Access 8, 212904-212916, 2020
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