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The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient.

, , , , , , and . IEEE Trans. Ind. Informatics, 13 (2): 625-634 (2017)

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Modelling supervisory control systems using fuzzy cognitive maps, and . Chaos, Solitons & Fractals, 11 (1-3): 329--336 (00 2000)The Challenge of Soft Computing Techniques for Tumor Characterization., , , , , and . ICAISC, volume 3070 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2004)Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database., , , , , , , and . ITBAM, volume 8060 of Lecture Notes in Computer Science, page 47-61. Springer, (2013)Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines., , and . IEEE Trans. Biomed. Eng., 53 (5): 875-884 (2006)Decision Support Systems based on a UML description approach., , , and . IEEE Conf. of Intelligent Systems, page 41-46. IEEE, (2012)An integrated approach to intelligent modeling of industrial plants., , , and . CIRA, page 1527-1532. IEEE, (2003)The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient., , , , , , and . IEEE Trans. Ind. Informatics, 13 (2): 625-634 (2017)An exploratory approach to fetal heart rate-pH-based systems., , , , , , , and . Signal Image Video Process., 15 (1): 43-51 (2021)AliAmvra - Enhancing Customer Experience through the Application of Machine Learning Techniques for Survey Data Assessment and Analysis., , , and . Inf., 15 (2): 83 (February 2024)Fuzzy Cognitive Maps in modeling supervisory control systems., and . J. Intell. Fuzzy Syst., 8 (1): 83-98 (2000)