Christian G. Quintero M.
Cited by
Cited by
Driver behavior classification model based on an intelligent driving diagnosis system
CG Quintero M., JO Lopez, AC Cuervo P
15th International IEEE Conference on Intelligent Transportation Systems …, 2012
Hybrid renewable energy system based on intelligent optimization techniques
KD Mercado, J Jiménez, CG Quintero M.
2016 IEEE International Conference on Renewable Energy Research and …, 2016
A methodology for short-term load forecasting
J Jimenez, K Donado, CG Quintero M.
IEEE Latin America Transactions 15 (3), 400-407, 2017
Intelligent erratic driving diagnosis based on artificial neural networks
CG Quintero M., JO López, JM Pérez R.
2010 IEEE ANDESCON Conference, 1 - 6, 2010
Using genetic algorithm feature selection in neural classification systems for image pattern recognition
M Gamarra, CG Quintero M.
Ingeniería e Investigación 33 (1), 52-58, 2013
HYRES: A multi-objective optimization tool for proper configuration of renewable hybrid energy systems
K Donado, L Navarro, CG Quintero M, M Pardo
Energies 13 (1), 26, 2020
Predictive motion control of a mirosot mobile robot
J Wan, CG Quintero M, N Luo, J Vehi
Proceedings World Automation Congress, 2004. 15, 325-330, 2004
Intelligent driving assistant based on accident risk maps analysis and intelligent driving diagnosis
CG Quintero M., PAC Cuervo
2017 IEEE Intelligent Vehicles Symposium (IV), 914-919, 2017
Instrumentación electrónica aplicada. Prácticas de la laboratorio
CG Quintero M., JO López, HA de la Hoz
Universidad del Norte 1, 68, 2011
Intelligent driving diagnosis system applied to drivers modeling and high risk areas identification. An approach toward a real environment implementation
CG Quintero M., JO López, AC Cuervo P.
2012 IEEE International Conference on Vehicular Electronics and Safety …, 2012
A real time approach for task allocation in a disaster scenario
S Suárez B, CG Quintero M., J de la Rosa
Advances in Practical Applications of Agents and Multiagent Systems, 157-162, 2010
Self-knowledge based on the atomic capabilities concept-a perspective to achieve sure commitments among physical agents.
CG Quintero M., JL de la Rosa, J Vehí
ICINCO, 425-430, 2005
Managing Heterogeneity in a Robot Soccer Environment
J Zubelzu, J de la Rosa, JA Ramon, CG Quintero M.
Frontiers in Artificial Intelligence and Applications, 317-322, 2004
Physical Intelligent Agents' Capabilities Management for Sure Commitments in a Collaborative World
CG Quintero M., J de la Rosa, J Vehí
Frontier in Artificial Intelligence and Applications 58603 (466), 9, 2004
Multivariate Statistical Analysis based Methodology for Long-Term Demand Forecasting
J Jiménez, A Pertuz, CG Quintero M., J Montaña
IEEE Latin America Transactions 17 (01), 93-101, 2019
Dynamic task allocation and coordination in cooperative multi-agent environments
SA Suárez Barón
Universitat de Girona, 2011
Improving tasks allocation and coordination in a rescue scenario
JL de la Rosa, S Suárez, CG Quintero M.
2007 European Control Conference (ECC), 1498-1503, 2007
An Approach Based On New Coordination Mechanisms To Improve The Teamwork Of Cooperative Intelligent Agents
S Ibarra, CG Quintero M., JL De La Rosa, JAR Castan
2006 Seventh Mexican International Conference on Computer Science, 164-172, 2006
Studies about the atomic capabilities concept for linear control systems in physical multi-agent environments
CG Quintero Monroy, JL Rosa, J Vehí
© IEEE International Symposium on Computational Intelligence in Robotics and …, 2005
Intelligent system for the predictive analysis of an industrial wastewater treatment process
L Arismendy, C Cárdenas, D Gómez, A Maturana, R Mejía, ...
Sustainability 12 (16), 6348, 2020
The system can't perform the operation now. Try again later.
Articles 1–20