JUAN JOSÉ
FUERTES MARTÍNEZ
Profesor Titular de Universidad
Universidad de Oviedo
Oviedo, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Oviedo (24)
2024
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Deep Echo State Networks for Modelling of Industrial Systems
Communications in Computer and Information Science
2023
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Adaptive Model for Industrial Systems Using Echo State Networks
Communications in Computer and Information Science
2019
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A deep learning approach for fusing sensor data from screw compressors
Sensors (Switzerland), Vol. 19, Núm. 13
2017
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Analysis of parallel process in hvac systems using deep autoencoders
Communications in Computer and Information Science
2015
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Analysis of Electricity Bill Data using Interactive Dimensionality Reduction
ACM International Conference Proceeding Series
2013
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Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques
Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1872-1880
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Visualization maps based on SOM to analyze MIMO systems
Neural Computing and Applications, Vol. 23, Núm. 5, pp. 1407-1419
2012
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Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques
Communications in Computer and Information Science
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Monitoring industrial processes with SOM-based dissimilarity maps
Expert Systems with Applications, Vol. 39, Núm. 8, pp. 7110-7120
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Supervision of industrial processes using self organizing maps
Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 206-227
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Two-stage approach for electricity consumption forecasting in public buildings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Visual analysis of residuals from data-based models in complex industrial processes
International Journal of Modern Physics B, Vol. 26, Núm. 25
2011
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Analysis of electric power consumption using self-organizing maps
IFAC Proceedings Volumes (IFAC-PapersOnline)
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Control maps: Visualization of local robustness properties for control system design
IFAC Proceedings Volumes (IFAC-PapersOnline)
2010
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Application of SOM-based visualization maps for time-response analysis of industrial processes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes
Engineering Applications of Artificial Intelligence, Vol. 23, Núm. 1, pp. 8-17
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Visualization of changes in process dynamics using self-organizing maps
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009
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Tool for instruction and learning on variable speed drives through the Internet
2009 European Control Conference, ECC 2009
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Visualization of MIMO process dynamics using local dynamic modelling with self organizing maps
Communications in Computer and Information Science
2008
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A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes
Expert Systems with Applications, Vol. 34, Núm. 4, pp. 2953-2965