Gerardo Beruvides

According to our database1, Gerardo Beruvides authored at least 13 papers between 2014 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models.
Sensors, 2018

Towards the Adoption of Cyber-Physical Systems of Systems Paradigm in Smart Manufacturing Environments.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Industrial cyber-physical system for condition-based monitoring in manufacturing processes.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2017
Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System.
Sensors, 2017

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

2015
Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process.
Computers in Industry, 2015

A self-learning strategy for artificial cognitive control systems.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

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

Application of hybrid incremental modeling for predicting surface roughness in micromachining processes.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

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


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