MARIA JESUS DE LA
FUENTE APARICIO
CATEDRATICOS DE UNIVERSIDAD
GREGORIO ISMAEL
SAINZ PALMERO
PROFESORES TITULARES DE UNIVERSIDAD
Publications by the researcher in collaboration with GREGORIO ISMAEL SAINZ PALMERO (41)
2024
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Data-based decomposition plant for decentralized monitoring schemes: A comparative study
Journal of Process Control, Vol. 135
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Discovering stop and parking behaviors of last mile delivery vehicles for urban areas based on not well conditioned GPS traces, expert knowledge and machine learning
Expert Systems with Applications, Vol. 238
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Faster WWTP Fault Diagnosis Based on Linguistic-OWA Pooling DCNN
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
2023
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Dynamic Decentralized Monitoring for Large-Scale Industrial Processes Using Multiblock Canonical Variate Analysis Based Regression
IEEE Access, Vol. 11, pp. 26611-26623
2020
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Knowledge based recursive non-linear partial least squares (RNPLS)
ISA Transactions, Vol. 100, pp. 481-494
2019
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Decentralized DPCA Model for Large-Scale Processes Monitoring
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
2018
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Decentralized and Dynamic Fault Detection Using PCA and Bayesian Inference
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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Detección de fallos dinámica y descentralizada basada en métodos de regresión
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
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Fault detection based on time series modeling and multivariate statistical process control
Chemometrics and Intelligent Laboratory Systems, Vol. 182, pp. 57-69
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Linguistic OWA and two time-windows based fault identification in wide plants
Computers and Chemical Engineering, Vol. 115, pp. 412-430
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Monitor-While-Drilling-based estimation of rock mass rating with computational intelligence: The case of tunnel excavation front
Automation in Construction, Vol. 93, pp. 325-338
2017
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La informática industrial en las ingenierías industriales
Actas de las XXXVIII Jornadas de Automática
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Multi-objective based Fuzzy Rule Based Systems (FRBSs) for trade-off improvement in accuracy and interpretability: A rule relevance point of view.
Knowledge-Based Systems, Vol. 127, pp. 67-84
2015
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Fault detection in wastewater treatment plants using distributed PCA methods
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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Fault detection with distributed PCA methods in water distribution networks
2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings
2014
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Fault detection based on neural networks and independent component analysis
19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
2013
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Selection of rules by orthogonal transformations and genetic algorithms to improve the interpretability in fuzzy rule based systems
IEEE International Conference on Fuzzy Systems
2012
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Checking orthogonal transformations and genetic algorithms for selection of fuzzy rules based on interpretability-accuracy concepts
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. SUPPL. 2, pp. 159-186
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Complexity reduction and interpretability improvement for fuzzy rule systems based on simple interpretability measures and indices by bi-objective evolutionary rule selection
Soft Computing, Vol. 16, Núm. 3, pp. 451-470
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Fault detection and isolation in transient states using principal component analysis
Journal of Process Control, Vol. 22, Núm. 3, pp. 551-563