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Rubén Morales-Menéndez
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2020 – today
- 2024
- [c61]Rodrigo Gutiérrez-Garza, Alejandro Arceo, Jorge de-J. Lozoya-Santos, Juan C. Tudon Martinez, Rubén Morales-Menéndez:
Fostering Research Engagement in Engineering Students via an Industrial-Level Control Device. EDUCON 2024: 1-6 - 2023
- [j18]Andres E. Campos-Ferreira, Jorge de-J. Lozoya-Santos, Juan C. Tudon Martinez, Ricardo A. Ramírez-Mendoza, Adriana Vargas-Martínez, Rubén Morales-Menéndez, Diego F. Lozano-García:
Vehicle and Driver Monitoring System Using On-Board and Remote Sensors. Sensors 23(2): 814 (2023) - 2022
- [j17]P. K. Gupta, Mohammad Khubeb Siddiqui, Xiaodi Huang, Rubén Morales-Menéndez, Harsh Panwar, Hugo Terashima-Marín, Mohammad Saif Wajid:
COVID-WideNet - A capsule network for COVID-19 detection. Appl. Soft Comput. 122: 108780 (2022) - [j16]José Luis Guadiana-Alvarez, Fida Hussain, Rubén Morales-Menéndez, Etna Rojas-Flores, Arturo García-Zendejas, Carlos A. Escobar, Ricardo A. Ramírez-Mendoza, Jianhong Wang:
Prognosis patients with COVID-19 using deep learning. BMC Medical Informatics Decis. Mak. 22(1): 78 (2022) - 2021
- [j15]Prakhar Bhardwaj, P. K. Gupta, Harsh Panwar, Mohammad Khubeb Siddiqui, Rubén Morales-Menéndez, Anubha Bhaik:
Application of Deep Learning on Student Engagement in e-learning environments. Comput. Electr. Eng. 93: 107277 (2021) - [j14]Jianhong Wang, Yanxiang Wang, Ricardo A. Ramírez-Mendoza, Rubén Morales-Menéndez:
Adaptive iterative correlation tuning for closed loop system with two parametrised controllers. Int. J. Syst. Sci. 52(9): 1835-1849 (2021) - [j13]Carlos A. Escobar, Megan E. McGovern, Rubén Morales-Menéndez:
Quality 4.0: a review of big data challenges in manufacturing. J. Intell. Manuf. 32(8): 2319-2334 (2021) - [j12]Carlos A. Escobar, Megan E. McGovern, Rubén Morales-Menéndez:
Correction to: Quality 4.0: a review of big data challenges in manufacturing. J. Intell. Manuf. 32(8): 2375 (2021) - [c60]A. Escobar, Debejyo Chakraborty, Jorge Arinez, Rubén Morales-Menéndez:
Augmentation of Body-in-White Dimensional Quality Systems through Artificial Intelligence. IEEE BigData 2021: 1611-1618 - 2020
- [j11]Carlos A. Escobar, Rubén Morales-Menéndez, Daniela Macias:
Process-monitoring-for-quality - A machine learning-based modeling for rare event detection. Array 7: 100034 (2020) - [j10]Mohammad Khubeb Siddiqui, Rubén Morales-Menéndez, Xiaodi Huang, Nasir Hussain:
A review of epileptic seizure detection using machine learning classifiers. Brain Informatics 7(1): 5 (2020) - [c59]Carlos A. Escobar, Jorge Arinez, Daniela Macias, Rubén Morales-Menéndez:
Learning with Missing Data. IEEE BigData 2020: 5037-5045 - [c58]Armando Roman-Flores, Enrique Cuan-Urquizo, Ricardo Ramírez-Mendoza, Adriana Vargas-Martínez, Jorge de-J. Lozoya-Santos, Pedro Daniel Urbina Coronado, Rubén Morales-Menéndez:
Design Of Interactive Learning Cyber-Physical Tools for Mechanical Design Engineering Courses. EDUCON 2020: 1044-1048 - [c57]Mauricio Adolfo Ramírez-Moreno, Mariana Díaz-Padilla, Karla Daniela Valenzuela-Gómez, Adriana Vargas-Martínez, Armando Roman-Flores, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Jorge de-J. Lozoya-Santos:
Advanced Learning Assistant System (ALAS) for Engineering Education. EDUCON 2020: 1858-1861
2010 – 2019
- 2019
- [c56]Rubén Morales-Menéndez, Francisco J. Cantú Ortiz, Nathalie Galeano Ramirez, James Fangmeyer, Ana Marcela Hernandez de Menendez:
Research Path that Improves Student Engagement. EDUCON 2019: 142-151 - [c55]Jorge de-J. Lozoya-Santos, Brenda Edith Guajardo Leal, Adriana Vargas-Martínez, Indira Elisa Molina-Gaytan, Armando Roman-Flores, Ricardo Ramírez-Mendoza, Rubén Morales-Menéndez:
Transdisciplinary Learning Community: A Model to Enhance Collaboration between Higher Education Institutions and Society. EDUCON 2019: 622-627 - [c54]Jorge de-J. Lozoya-Santos, Brenda Edith Guajardo Leal, Adriana Vargas-Martínez, Indira Elisa Molina-Gaytan, Armando Roman-Flores, Ricardo Ramírez-Mendoza, Rubén Morales-Menéndez:
Knowledge Generation in Higher Education Institutions. EDUCON 2019: 628-633 - [c53]Carlos A. Escobar, Diana M. Wegner, Abhinav Gaur, Rubén Morales-Menéndez:
Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming. EMO 2019: 151-164 - 2018
- [j9]Satyam Paul, Rubén Morales-Menéndez:
Active Control of Chatter in Milling Process Using Intelligent PD/PID Control. IEEE Access 6: 72698-72713 (2018) - [j8]Carlos A. Escobar, Rubén Morales-Menéndez:
Parsimonious Modeling for Binary Classification of Quality in a High Conformance Manufacturing Environment. Trans. Mach. Learn. Data Min. 11(1): 257-41 (2018) - [c52]Ricardo Ambrocio Ramírez-Mendoza, Rubén Morales-Menéndez, Hafiz Iqbal, Roberto Parra-Saldivar:
Engineering Education 4.0: - proposal for a new Curricula. EDUCON 2018: 1273-1282 - 2017
- [c51]Carlos A. Escobar, Rubén Morales-Menéndez:
Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions. ICDM 2017: 286-300 - 2016
- [c50]Diana Hernandez-Alcantara, Rubén Morales-Menéndez, Ricardo Ambrocio Ramírez-Mendoza:
Teaching semi-active suspension control using an experimental platform. ACC 2016: 7334-7339 - [c49]Diana Hernandez-Alcantara, Rubén Morales-Menéndez, Luis Antonio Amezquita-Brooks:
Fault diagnosis for an automotive suspension using particle filters. ECC 2016: 1898-1903 - [c48]Carlos Alberto Vivas-Lopez, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Olivier Sename, Luc Dugard:
Chassis Control based on Fuzzy Logic. FUZZ-IEEE 2016: 811-817 - 2015
- [j7]Juan Carlos Tudón-Martínez, Soheib Fergani, Olivier Sename, John Jairo Martinez, Rubén Morales-Menéndez, Luc Dugard:
Adaptive Road Profile Estimation in Semiactive Car Suspensions. IEEE Trans. Control. Syst. Technol. 23(6): 2293-2305 (2015) - [c47]Carlos Vivas-Lopez, Diana Hernandez-Alcantara, Juan Carlos Tudón-Martínez, Rubén Morales-Menéndez:
Plug and Play with a QoV Model - A Research Based Learning Approach. CSEDU (1) 2015: 277-284 - 2014
- [c46]Diana Hernandez-Alcantara, Juan Carlos Tudón-Martínez, Luis Antonio Amezquita-Brooks, Carlos Vivas-Lopez, Rubén Morales-Menéndez:
State observers for semi-active suspensions: Experimental results. CCA 2014: 53-58 - [c45]Juan Carlos Tudón-Martínez, Soheib Fergani, Olivier Sename, Rubén Morales-Menéndez, Luc Dugard:
Online road profile estimation in automotive vehicles. ECC 2014: 2370-2375 - [c44]Juan C. Tudon Martinez, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Luis E. Garza-Castañón:
Experimental ANN-based modeling of an adjustable damper. IJCNN 2014: 2512-2518 - 2013
- [j6]Jan Lunze, Cristina Verde Rodarte, Rubén Morales-Menéndez, Arturo Molina Gutiérrez, Ricardo Ramírez-Mendoza, Carlos-M. Astorga-Zaragoza:
8th SAFEPROCESS 2012: Special Section. Annu. Rev. Control. 37(1): 117-118 (2013) - [c43]Juan Carlos Tudón-Martínez, Sebastien Varrier, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
Suspension control strategy for a fully electrified vehicle. ECC 2013: 1469-1474 - [c42]Sebastien Varrier, Carlos Alberto Vivas-Lopez, Jorge de-J. Lozoya-Santos, Juan Carlos Tudón-Martínez, Damien Koenig, John Jairo Martinez, Rubén Morales-Menéndez:
Applicative Fault Tolerant Control for semi-active suspension system: Preliminary results. ECC 2013: 3803-3808 - [c41]Juan Carlos Tudón-Martínez, Sebastien Varrier, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Damien Koenig, John Jairo Martinez, Olivier Sename:
Fault tolerant control with additive compensation for faults in an automotive damper? ICNSC 2013: 810-814 - 2012
- [c40]Juan Carlos Tudón-Martínez, Rubén Morales-Menéndez:
Nonparametric Modeling of an Automotive Damper Based on ANN: Effect in the Control of a Semi-active Suspension. IJCCI (Selected Papers) 2012: 295-309 - [c39]Juan C. Tudon Martinez, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Luis E. Garza-Castañón:
MR Damper Identification using ANN based on 1-Sensor - A Tool for Semiactive Suspension Control Compliance. IJCCI 2012: 493-502 - 2011
- [j5]Juan Carlos Tudón-Martínez, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Luis E. Garza-Castañón, Adriana Vargas-Martínez:
Fault Detection in a Heat Exchanger, Comparative Analysis between Dynamic Principal Component Analysis and Diagnostic Observers. Computación y Sistemas 14(3) (2011) - [c38]Nathalíe Galeano, Rubén Morales-Menéndez, Francisco J. Cantú Ortiz:
A Research-based Learning Approach for Undergraduate Students - The Internship Program in Research and Innovation Model. CSEDU (2) 2011: 143-147 - [c37]Juan C. Tudon Martinez, Rubén Morales-Menéndez, Luis E. Garza-Castañón, Ricardo Ramírez-Mendoza:
Comparison of Artificial Neural Networks and Dynamic Principal Component Analysis for Fault Diagnosis. IEA/AIE (1) 2011: 10-18 - [c36]Luis E. Garza-Castañón, Deneb Robles Guillén, Rubén Morales-Menéndez:
Fault Diagnosis in Power Networks with Hybrid Bayesian Networks and Wavelets. IEA/AIE (1) 2011: 29-38 - 2010
- [j4]Antonio J. Vallejo, Rubén Morales-Menéndez:
Cost-effective supervisory control system in peripheral milling using HSM. Annu. Rev. Control. 34(1): 155-162 (2010) - [j3]Juan Pablo Nieto González, Luis E. Garza-Castañón, Rubén Morales-Menéndez:
Multiple Fault Diagnosis in Electrical Power Systems with Dynamic Load Changes Using Probabilistic Neural Networks. Computación y Sistemas 14(1) (2010)
2000 – 2009
- 2009
- [j2]Irma Y. Sánchez Chávez, Rubén Morales-Menéndez, Sergio Omar Martinez-Chapa:
Glucose optimal control system in diabetes treatment. Appl. Math. Comput. 209(1): 19-30 (2009) - [c35]Ignacio Barradas, Luis E. Garza, Rubén Morales-Menéndez, Adriana Vargas-Martínez:
Leaks Detection in a Pipeline Using Artificial Neural Networks. CIARP 2009: 637-644 - [c34]Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ambrocio Ramírez-Mendoza:
IMC-based control system on a MR damper. ECC 2009: 3311-3316 - [c33]Antonio J. Vallejo, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Luis E. Garza-Castañón:
Online prediction of surface roughness in peripheral milling processes. ECC 2009: 3695-3700 - [c32]Jorge de-J. Lozoya-Santos, Javier A. Ruiz-Cabrera, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Vicente Diaz-Salas:
Building Training Patterns for Modelling MR Dampers. ICINCO-SPSMC 2009: 156-161 - [c31]Juan C. Tudon Martinez, Rubén Morales-Menéndez, Luis E. Garza-Castañón:
Fault Detection and Diagnosis in a Heat Exchanger. ICINCO-ICSO 2009: 265-270 - [c30]Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
Design of experiments for MR damper modelling. IJCNN 2009: 1915-1922 - [c29]Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
Magneto-Rheological Damper Modelling. MSV 2009: 92-98 - [c28]Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
MR-Damper based Control System. SMC 2009: 5168-5173 - 2008
- [c27]Luis E. Garza-Castañón, Francisco J. Cantú Ortiz, Rubén Morales-Menéndez:
Learning Discrete Probabilistic Models for Application in Multiple Faults Detection. ICINCO-ICSO 2008: 187-192 - [c26]Luis E. Garza-Castañón, Juan Pablo Nieto González, Mauricio A. Garza Castañon, Rubén Morales-Menéndez:
Fault Diagnosis of Industrial Systems with Bayesian Networks and Neural Networks. MICAI 2008: 998-1008 - [c25]Antonio J. Vallejo, Rubén Morales-Menéndez, José R. Alique:
Intelligent monitoring and decision control system for peripheral milling process. SMC 2008: 1620-1625 - 2007
- [c24]Rubén Morales-Menéndez, Antonio Vallejo Jr., Luis E. Garza-Castañón, Francisco J. Cantú Ortiz, José Vicente Abellán Nebot:
AI approaches for cutting tool diagnosis in machining processes. Artificial Intelligence and Applications 2007: 206-211 - [c23]José Rodrigo Táger, Ricardo Ramírez-Mendoza, Rubén Morales-Menéndez:
Controller Area Network Frames Decoder. IC-AI 2007: 641-646 - [c22]Antonio Vallejo Jr., Rubén Morales-Menéndez, Miguel Ramírez, José R. Alique, Luis E. Garza:
Multi Sensor Data Fusion for High Speed Machining. MICAI 2007: 1162-1172 - 2006
- [c21]Rubén Morales-Menéndez, Irma Yolanda Sánchez Chávez, Miguel Ramírez Cadena, Luis E. Garza:
Control engineering education at Monterrey Tech. ACC 2006 - [c20]Francisco J. Cantu, Luis E. Garza, Armando Robles, Rubén Morales-Menéndez:
Learning and Using Bayesian Networks for Diagnosis and User Profiling. AMCIS 2006: 181 - [c19]Luis E. Garza-Castañón, Saúl Montes de Oca, Rubén Morales-Menéndez:
Feature Characterization in Iris Recognition with Stochastic Autoregressive Models. IBERAMIA-SBIA 2006: 168-177 - [c18]Luis E. Garza-Castañón, Saúl Montes de Oca, Rubén Morales-Menéndez:
An Application of Random and Hammersley Sampling Methods to Iris Recognition. IEA/AIE 2006: 520-529 - [c17]Luis E. Garza-Castañón, Saúl Montes de Oca, Rubén Morales-Menéndez:
A Statistical Sampling Strategy for Iris Recognition. IFIP PPAI 2006: 333-341 - [c16]Luis E. Garza-Castañón, Saúl Montes de Oca, Rubén Morales-Menéndez:
An Application of ARX Stochastic Models to Iris Recognition. IFIP PPAI 2006: 343-352 - [c15]Antonio J. Vallejo, Rubén Morales-Menéndez, Ciro A. Rodríguez, Luis Enrique Sucar:
Diagnosis of a Cutting Tool in a Machining Center. IJCNN 2006: 3706-3713 - [c14]Luis E. Garza-Castañón, Saúl Montes de Oca, Rubén Morales-Menéndez:
Optimal Sampling for Feature Extraction in Iris Recognition Systems. MICAI 2006: 810-819 - 2005
- [c13]Luis E. Garza-Castañón, Rubén Morales-Menéndez, Francisco J. Cantú Ortiz:
A Framework to Design Fault-Tolerant Mechatronics Systems Under Uncertainty. Artificial Intelligence and Applications 2005: 207-211 - [c12]Miguel A. Carrillo, Francisco J. Cantú Ortiz, Rubén Morales-Menéndez, Luis E. Garza-Castañón:
Learning Bayesian Network Structures from Small Datasets using Simulated Annealing and Bayesian Score. Artificial Intelligence and Applications 2005: 375-380 - [c11]José L. Flores-Quintanilla, Rubén Morales-Menéndez, Ricardo A. Ramírez-Mendoza, Luis E. Garza-Castañón, Francisco J. Cantú Ortiz:
Towards a new fault diagnosis system for electric machines based on dynamic probabilistic models. ACC 2005: 2775-2780 - [c10]Armando Robles-Pompa, Francisco J. Cantú Ortiz, Rubén Morales-Menéndez:
A Bayesian Reasoning Framework for On-Line Business Information Systems. AMCIS 2005: 123 - [c9]Antonio Vallejo Jr., Juan Arturo Nolazco-Flores, Rubén Morales-Menéndez, Luis Enrique Sucar, Ciro A. Rodríguez:
Tool-Wear Monitoring Based on Continuous Hidden Markov Models. CIARP 2005: 880-890 - [c8]Armando Robles, B. V. Pablo Noriega, Francisco J. Cantu, Rubén Morales-Menéndez:
Enabling Intelligent Organizations: An Electronic Institutions Approach for Controlling and Executing Problem Solving Methods. MICAI 2005: 275-286 - [c7]Luis E. Garza-Castañón, Francisco J. Cantú Ortiz, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
A Fault Detection Approach Based on Machine Learning Models. MICAI 2005: 583-592 - [c6]Federico Guedea-Elizalde, Josafat M. Mata-Hernández, Rubén Morales-Menéndez:
CORBA Distributed Robotic System: A Case Study Using a Motoman 6-DOF Arm Manipulator. MICAI 2005: 1073-1081 - [c5]Rubén Morales-Menéndez, Sheyla Aguilar M, Ciro A. Rodríguez, Federico Guedea-Elizalde, Luis E. Garza-Castañón:
Sensor-Fusion System for Monitoring a CNC-Milling Center. MICAI 2005: 1164-1174 - 2004
- [j1]Nando de Freitas, Richard Dearden, Frank Hutter, Rubén Morales-Menéndez, Jim Mutch, David Poole:
Diagnosis by a waiter and a Mars explorer. Proc. IEEE 92(3): 455-468 (2004) - [c4]Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza, Jim Mutch, Federico Guedea-Elizalde:
Toward a New Approach for Online Fault Diagnosis Combining Particle Filtering and Parametric Identification. MICAI 2004: 555-564 - [c3]Federico Guedea-Elizalde, Rubén Morales-Menéndez, Rogelio Soto, Insop Song, Fakhri Karray:
Wrapper Components for Distributed Robotic Systems. MICAI 2004: 882-891 - 2003
- [c2]Rubén Morales-Menéndez, Nando de Freitas, David Poole:
Estimation and control of industrial processes with particle filters. ACC 2003: 579-584 - 2002
- [c1]Rubén Morales-Menéndez, Nando de Freitas, David Poole:
Real-Time Monitoring of Complex Industrial Processes with Particle Filters. NIPS 2002: 1433-1440
Coauthor Index
aka: Luis E. Garza
aka: Francisco J. Cantu
aka: Juan C. Tudon Martinez
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last updated on 2024-10-07 22:09 CEST by the dblp team
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