Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques. - Yarens J. Cruz; Marcelino Rivas 001; Ramón Quiza; Gerardo Beruvides; Rodolfo E. Haber (Sensors, 2020)

Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process. - Yarens J. Cruz; Marcelino Rivas 001; Ramón Quiza; Alberto Villalonga; Rodolfo E. Haber; Gerardo Beruvides (Comput. Ind., 2021)

A two-step machine learning approach for dynamic model selection: A case study on a micro milling process. - Yarens J. Cruz; Marcelino Rivas 001; Ramón Quiza; Rodolfo E. Haber; Fernando Castaño; Alberto Villalonga (Comput. Ind., 2022)

Data-Driven Insights on Time-to-Failure of Electromechanical Manufacturing Devices: A Procedure and Case Study. - Fernando Castaño; Yarens J. Cruz; Alberto Villalonga; Rodolfo E. Haber (IEEE Trans. Ind. Informatics, 2023)

Extending the operational lifespan of key components in a cyberphysical system. A method and case study. - Fernando Castaño; Yarens J. Cruz; Rodolfo E. Haber; Alberto Villalonga (ICSTCC, 2024)

Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration. - Alberto Villalonga; Yarens J. Cruz; Diego Alfaro; Rodolfo E. Haber; José L. Martínez Lastra; Fernando Castaño (ROBOT, 2024)

A Data-Driven Approach for Predicting Remaining Useful Life of Semiconductor Devices Based on Machine Learning and Synthetic Data Generation: A Review and Case Study on SiC MOSFETs. - Yarens J. Cruz; Fernando Castaño; Alberto Villalonga; Madhav Mishra; Rodolfo E. Haber (IEEE Access, 2025)