Ramón Quiza Sardiñas

Orcid: 0000-0003-1293-6044

Affiliations:
  • University of Matanzas, Research Center on Advanced and Sustainable Manufacturing, Cuba


According to our database1, Ramón Quiza Sardiñas authored at least 15 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Indirect Condition Monitoring of the Transmission Belts in a Desalination Plant by Using Deep Learning.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

2022
A two-step machine learning approach for dynamic model selection: A case study on a micro milling process.
Comput. Ind., 2022

2021
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process.
Comput. Ind., 2021

2020
Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques.
Sensors, 2020

Towards Sustainability of Manufacturing Processes by Multiobjective Optimization: A Case Study on a Submerged Arc Welding Process.
IEEE Access, 2020

2019
Automatic Selection of Optimal Parameters Based on Simple Soft-Computing Methods: A Case Study of Micromilling Processes.
IEEE Trans. Ind. Informatics, 2019

Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction.
IEEE Access, 2019

2018
Hybrid Modelling and Optimization of the Oblique Cutting of AISI 1045 Steel.
Int. J. Manuf. Mater. Mech. Eng., 2018

2017
Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization.
Complex., 2017

A Simple Multi-Objective Optimization Based on the Cross-Entropy Method.
IEEE Access, 2017

2016
Multi-objective optimization based on an improved cross-entropy method. A case study of a micro-scale manufacturing process.
Inf. Sci., 2016

2014
A fuzzy-genetic system to predict the cutting force in microdrilling processes.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Intelligent Models for Predicting the Thrust Force and Perpendicular Vibrations in Microdrilling Processes.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Artificial intelligence-based modelling and optimization of microdrilling processes.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2006
Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes.
Eng. Appl. Artif. Intell., 2006


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