Intelligent system for monitoring and stoichiometric optimization of combustion. - David Quintana; Fernando Hernández; Guillermo Ronquillo-Lomelí; Antonio Trejo (CCE, 2011)

Flame Classification through the Use of an Artificial Neural Network Trained with a Genetic Algorithm. - Juan Carlos Gómez; Fernando Hernández; Carlos A. Coello Coello; Guillermo Ronquillo-Lomelí; Antonio Trejo (MICAI (2), 2013)

Medidor inteligente para las variables de energía eléctrica basado en un sistema embebido. - José Manuel Álvarez-Alvarado; José Gabriel Ríos Moreno; Guillermo Ronquillo-Lomelí; Mario Trejo Perea (Res. Comput. Sci., 2016)

Experimental Study of a 1-kW Organic Rankine Cycle Using R245fa Working Fluid and a Scroll Expander: A Case Study. - José Manuel Álvarez-Alvarado; José Gabriel Ríos Moreno; Eusebio Ventura-Ramos Jr.; Guillermo Ronquillo-Lomelí; Mario Trejo Perea (IEEE Access, 2019)

Design and Validation of an Articulated Sensor Carrier to Improve the Automatic Pipeline Inspection. - Antonio Ramirez-Martinez; Noé Amir Rodríguez-Olivares; Sergio Torres-Torres; Guillermo Ronquillo-Lomelí; Jorge Alberto Soto-Cajiga (Sensors, 2019)

Novel Neural Networks for Camera Calibration in Underwater Environments. - Cristian H. Sánchez-Saquín; Leonardo Barriga Rodríguez; Leonardo A. Baldenegro-Pérez; Guillermo Ronquillo-Lomelí; Noé Amir Rodríguez-Olivares (IEEE Access, 2024)

A machine learning-based approach for flames classification in industrial Heavy Oil-Fire Boilers. - Guillermo Ronquillo-Lomelí; Angel-Iván García-Moreno (Expert Syst. Appl., 2024)