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Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps.

, , , , and . ETFA, page 1-8. IEEE, (2016)

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Time series forecasting by means of SOM aided Fuzzy Inference Systems., , , , and . ICIT, page 1772-1778. IEEE, (2015)Semisupervised refrigeration plant cooling disaggregation by means of deep neural network ensemble., , , and . ISIE, page 1761-1766. IEEE, (2019)Remaining useful life estimation of ball bearings by means of monotonic score calibration., , , , and . ICIT, page 1752-1758. IEEE, (2015)Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions., , , , and . ETFA, page 1-8. IEEE, (2014)Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis., , , , , and . IEEE Access, (2016)Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps., , , , and . ETFA, page 1-8. IEEE, (2016)Distributed neuro-fuzzy feature forecasting approach for condition monitoring., , , and . ETFA, page 1-8. IEEE, (2014)Data-driven operation performance evaluation of multi-chiller system using self-organizing maps., , , , and . ICIT, page 2099-2104. IEEE, (2018)Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems., , , , , and . ETFA, page 1213-1216. IEEE, (2018)