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Guillermo Ronquillo-Lomelí
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2020 – today
- 2024
- [j4]Guillermo Ronquillo-Lomelí
, Angel-Iván García-Moreno
:
A machine learning-based approach for flames classification in industrial Heavy Oil-Fire Boilers. Expert Syst. Appl. 238(Part E): 122188 (2024)
2010 – 2019
- 2019
- [j3]José Manuel Álvarez-Alvarado
, José Gabriel Ríos Moreno
, Eusebio Ventura-Ramos Jr., Guillermo Ronquillo-Lomelí
, Mario Trejo Perea
:
Experimental Study of a 1-kW Organic Rankine Cycle Using R245fa Working Fluid and a Scroll Expander: A Case Study. IEEE Access 7: 154515-154523 (2019) - [j2]Antonio Ramirez-Martinez, Noé Amir Rodríguez-Olivares
, Sergio Torres-Torres, Guillermo Ronquillo-Lomelí
, Jorge Alberto Soto-Cajiga
:
Design and Validation of an Articulated Sensor Carrier to Improve the Automatic Pipeline Inspection. Sensors 19(6): 1394 (2019) - 2016
- [j1]José Manuel Álvarez-Alvarado, José Gabriel Ríos Moreno, Guillermo Ronquillo-Lomelí, Mario Trejo Perea:
Medidor inteligente para las variables de energía eléctrica basado en un sistema embebido. Res. Comput. Sci. 116: 107-116 (2016) - 2013
- [c2]Juan Carlos Gómez, Fernando Hernández, Carlos A. Coello Coello
, Guillermo Ronquillo-Lomelí
, Antonio Trejo:
Flame Classification through the Use of an Artificial Neural Network Trained with a Genetic Algorithm. MICAI (2) 2013: 172-184 - 2011
- [c1]David Quintana
, Fernando Hernández, Guillermo Ronquillo-Lomelí
, Antonio Trejo:
Intelligent system for monitoring and stoichiometric optimization of combustion. CCE 2011: 1-6
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last updated on 2024-06-19 21:00 CEST by the dblp team
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