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Learning from neural control for non-affine systems with full state constraints using command filtering., , and . Int. J. Control, 93 (10): 2392-2406 (2020)Enhancing the SVD Compression., , and . CoRR, (2021)Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision., , and . Complex., (2017)Reconstruction of Human-Induced Forest Loss in China during 1900-2000., , , , , , , , , and 1 other author(s). Remote. Sens., 15 (15): 3831 (August 2023)Lattice Distortion and Phase Stability of Pd-Doped NiCoFeCr Solid-Solution Alloys., , , , , and . Entropy, 20 (12): 900 (2018)An Impedance Flow Cytometer Chip with Tunable Impedance Responses for High Sensitive Cellular Biomarker Detection., , , , , and . NEMS, page 80-84. IEEE, (2022)Guaranteeing Predefined Full State Constraints for Non-Affine Nonlinear Systems Using Neural Networks., and . ICONIP (6), volume 10639 of Lecture Notes in Computer Science, page 376-383. Springer, (2017)Design and Application of a UAV Autonomous Inspection System for High-Voltage Power Transmission Lines., , , , , and . Remote. Sens., 15 (3): 865 (February 2023)A novel two-stage method of plant seedlings classification based on deep learning., , , , , , , and . J. Intell. Fuzzy Syst., 42 (3): 2181-2191 (2022)A novel federated learning approach based on the confidence of federated Kalman filters., , , , , , and . Int. J. Mach. Learn. Cybern., 12 (12): 3607-3627 (2021)