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A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants., , , , , , and . AIIoT, page 415-420. IEEE, (2023)Maximizing Efficiency in Commercial Power Systems with an Optimized Load Classification and Identification Method Using Deep Learning and Ensemble Techniques., , , , , and . AIIoT, page 403-408. IEEE, (2023)Generalised Controller Design Using Continual Learning., , and . ICANN (2), volume 12892 of Lecture Notes in Computer Science, page 397-408. Springer, (2021)Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates., , , , and . IEEE Trans. Ind. Informatics, 16 (4): 2315-2324 (2020)A comparative investigation between memory-based and discrete event-triggered scheme in networked control systems., , and . ICCA, page 862-867. IEEE, (2022)Machine learning-based inverse predictive model for AFP based thermoplastic composites., , , , and . J. Ind. Inf. Integr., (2021)Enhanced Fault Classification and Localization in Microgrids Using Machine Learning., , , , and . AIIoT, page 542-547. IEEE, (2023)Neural Network Based Inverse System Identification from Small Data Sets., , , and . IJCNN, page 1-6. IEEE, (2019)Delta Modulator Based Quantised State-Feedback Control of Networked Linear Systems., , and . IEEE Access, (2022)Deep Learning Based Non-Intrusive Load Monitoring for a Three-Phase System., , , , , , and . IEEE Access, (2023)