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Adaptive Pseudo Linear RBF Model for Process Control., и . ISNN (2), том 3972 из Lecture Notes in Computer Science, стр. 1013-1018. Springer, (2006)Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model., и . ISNN (3), том 3498 из Lecture Notes in Computer Science, стр. 544-549. Springer, (2005)Neural network model adaptation and its application to process control., , и . Adv. Eng. Informatics, 18 (1): 1-8 (2004)Multi-component wind turbine modeling and simulation for wind farm operations and maintenance., , и . Simul., 91 (4): 360-382 (2015)Absent data generating classifier for imbalanced class sizes., , и . J. Mach. Learn. Res., (2015)Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement., , , , и . CoRR, (2023)An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network., , , , , и . Expert Syst. Appl., (2021)Secure NOMA-Based UAV-MEC Network Towards a Flying Eavesdropper., , , , , , и . IEEE Trans. Commun., 70 (5): 3364-3376 (2022)A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning., , , , , , , , , и 1 other автор(ы). Adv. Eng. Informatics, (2022)Integration of Process-Oriented Tolerancing and Maintenance Planning in Design of Multistation Manufacturing Processes., , , и . IEEE Trans Autom. Sci. Eng., 3 (4): 440-453 (2006)