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Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the Fuzzy Min-Max neural network., , and . IJCNN, page 1-5. IEEE, (2013)Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model., , and . ICONIP (3), volume 8836 of Lecture Notes in Computer Science, page 381-389. Springer, (2014)Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors., , , and . Neural Comput. Appl., 23 (Supplement-1): 191-200 (2013)Personality affected robotic emotional model with associative memory for human-robot interaction., , and . Neurocomputing, (2018)An intelligent payment card fraud detection system., , , , and . Ann. Oper. Res., 334 (1): 445-467 (March 2024)Navigating the landscape of concept-supported XAI: Challenges, innovations, and future directions., , , , and . Multim. Tools Appl., 83 (25): 67147-67197 (July 2024)Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART., , and . Neural Processing Letters, 45 (3): 887-911 (2017)A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification., , , , , and . Neurocomputing, (2019)A hybrid FAM-CART model and its application to medical data classification., , , and . Neural Comput. Appl., 26 (8): 1799-1811 (2015)A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery., , , , and . IEEE Access, (2023)