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Online Denoising Based on the Second-Order Adaptive Statistics Model., , , , , , и . Sensors, 17 (7): 1668 (2017)The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods., , , , и . Sensors, 21 (6): 2085 (2021)Location estimation based on feature mode matching with deep network models., , , , и . Frontiers Neurorobotics, (июня 2023)Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting., , , , , и . Comput. Intell. Neurosci., (2021)Deep Fusion Predictive Modeling Based on Noise Analysis., , , , и . ICCAIS, стр. 135-140. IEEE, (2021)A Decimal Scaling Normalization Encoder-Decoder Deep Network for Modeling in the Nonlinear Systems., , , , , и . RICAI, стр. 806-809. IEEE, (2023)Probability Fusion Decision Framework of Multiple Deep Neural Networks for Fine-Grained Visual Classification., , , , , и . IEEE Access, (2019)Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy., , , , , , и . Entropy, 23 (2): 219 (2021)Parallel deep prediction with covariance intersection fusion on non-stationary time series., , , , , и . Knowl. Based Syst., (2021)Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System., , , , , и . Sensors, 23 (20): 8650 (октября 2023)