Marcos Quiñones-Grueiro
Marcos Quiñones-Grueiro
Universidad Tecnológica de la Habana José Antonio Echeverría, CUJAE
Verified email at
Cited by
Cited by
Data-driven monitoring of multimode continuous processes: A review
M Quiñones-Grueiro, A Prieto-Moreno, C Verde, O Llanes-Santiago
Chemometrics and Intelligent Laboratory Systems 189, 56-71, 2019
Modeling and monitoring for transitions based on local kernel density estimation and process pattern construction
M Quiñones-Grueiro, A Prieto-Moreno, O Llanes-Santiago
Industrial & Engineering Chemistry Research 55 (3), 692-702, 2016
Comparison of classifiers for leak location in water distribution networks
M Quiñones-Grueiro, JM Bernal-de Lázaro, C Verde, A Prieto-Moreno, ...
IFAC-PapersOnLine 51 (24), 407-413, 2018
Demand Model in Water Distribution Networks for Fault Detection
M Quiñones-Grueiro, C Verde, O Llanes-Santiago
IFAC-PapersOnLine 50 (1), 3263-3268, 2017
An unsupervised approach to leak detection and location in water distribution networks
M Quiñones-Grueiro, C Verde, A Prieto-Moreno, O Llanes-Santiago
International Journal of Applied Mathematics and Computer Science 28 (2 …, 2018
Comments on the applicability of “An improved weighted recursive PCA algorithm for adaptive fault detection”
M Quiñones-Grueiro, C Verde
Control Engineering Practice 58, 254–255, 2017
Leaks' detection in water distribution networks with demand patterns
M Quiñones-Grueiro, C Verde, A Prieto-Moreno
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 313-318, 2016
Features of demand patterns for leak detection in water distribution networks
M Quiñones-Grueiro, C Verde, O Llanes-Santiago
Modeling and Monitoring of Pipelines and Networks, 171-189, 2017
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning
I Ahmed, M Quiñones-Grueiro, G Biswas
arXiv preprint arXiv:2008.04407, 2020
A Novel Approach for Leak Localization in Water Distribution Networks Using Computational Intelligence
M Sánchez-Rivero, M Quiñones-Grueiro, AR Suárez, OL Santiago
Computational Intelligence in Emerging Technologies for Engineering …, 2020
Multi-objective sensor placement for leakage detection and localization in water distribution networks
M Quiñones-Grueiro, C Verde, O Llanes-Santiago
2019 4th Conference on Control and Fault Tolerant Systems (SysTol), 129-134, 2019
A New Approach for Fault Diagnosis of Industrial Processes During Transitions
DL Acevedo-Galán, M Quiñones-Grueiro, A Prieto-Moreno, ...
International Workshop on Artificial Intelligence and Pattern Recognition …, 2018
Detección de fugas en redes de distribución empleando análisis de componentes principales
M Quiñones Grueiro, C Verde, A Prieto-Moreno, O Llanes-Santiago
Congreso Nacional de Control Automático (CNCA), 276-282, 2016
Una propuesta para configurar el algoritmo FastICA en el diagnóstico de fallos en sistemas industriales
M Quiñones Grueiro, A Prieto-Moreno, O Llanes Santiago
Ingeniería Electrónica, Automática y Comunicaciones 35 (2), 73-89, 2014
Continual adaptation in deep reinforcement learning-based control applied to non-stationary building environments
A Naug, M Quiñones-Grueiro, G Biswas
Proceedings of the 1st International Workshop on Reinforcement Learning for …, 2020
A decision-making framework for safe operations of unmanned aerial vehicles in urban scenarios
M Quiñones, T Darrah, G Biswas, C Kulkarni
Annual Conference of the PHM Society 12 (1), 11-11, 2020
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
I Ahmed, M Quinones-Grueiro, G Biswas
arXiv preprint arXiv:2009.12634, 2020
A Relearning Approach to Reinforcement Learning for control of Smart Buildings
A Naug, M Quinones-Grueiro, G Biswas
arXiv preprint arXiv:2008.01879, 2020
Off-Line Data Validation for Water Network Modeling Studies
M Quiñones-Grueiro, L Torres, C Verde
Multidisciplinary Digital Publishing Institute Proceedings 48 (1), 13, 2020
Novel Leak Location Approach in Water Distribution Networks with Zone Clustering and Classification
M Quiñones-Grueiro, C Verde, O Llanes-Santiago
Mexican Conference on Pattern Recognition, 37-46, 2019
The system can't perform the operation now. Try again later.
Articles 1–20