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Data-driven partially observable dynamic processes using adaptive dynamic programming., , , and . ADPRL, page 1-8. IEEE, (2014)A Deep Imbalanced Learning Framework for Transient Stability Assessment of Power System., , , , , and . IEEE Access, (2019)Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines., , , and . ICMLA, page 495-500. IEEE, (2018)Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy., , and . IEEE Trans. Ind. Electron., 64 (8): 6742-6751 (2017)Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current., , , , and . Frontiers Artif. Intell., (2021)Reliable machine prognostic health management in the presence of missing data., , , and . Concurr. Comput. Pract. Exp., (2022)In-Stream Hydrokinetic Turbine Fault Detection and Fault Tolerant Control - A Benchmark Model., , , , , and . ACC, page 4442-4447. IEEE, (2019)Web Service Network Embedding Based on Link Prediction and Convolutional Learning., , , , , and . IEEE Trans. Serv. Comput., 15 (6): 3620-3633 (2022)Feature-Attention Graph Convolutional Networks for Noise Resilient Learning., , , , , and . IEEE Trans. Cybern., 52 (8): 7719-7731 (2022)Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments., , , , and . ACC, page 3106-3113. IEEE, (2022)