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Neural-network-based sliding-mode control for multiple rigid-body attitude tracking with inertial information completely unknown.

, , , and . Inf. Sci., (2017)

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Emotion Recognition from Variable-Length Speech Segments Using Deep Learning on Spectrograms., , , , , and . INTERSPEECH, page 3683-3687. ISCA, (2018)An Adaptive Control Mechanism for Improving the Loading Precision of Aircraft Hydraulic Servo Load Simulator., , , , , , and . ICMLC, page 379-383. ACM, (2018)The consensus region design and analysis of fractional-order multi-agent systems., , , and . Int. J. Syst. Sci., 48 (3): 629-636 (2017)Speech Emotion Recognition with Emotion-Pair Based Framework Considering Emotion Distribution Information in Dimensional Emotion Space., , , , , and . INTERSPEECH, page 1238-1242. ISCA, (2017)Neural-network-based sliding-mode control for multiple rigid-body attitude tracking with inertial information completely unknown., , , and . Inf. Sci., (2017)Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2022)Study on Feature Subspace of Archetypal Emotions for Speech Emotion Recognition., , , , , and . CoRR, (2016)Finding Constrained Frequent Episodes Using Minimal Occurrences., , and . ICDM, page 471-474. IEEE Computer Society, (2004)Recognize foreign low-frequency words with similar pairs., , , and . INTERSPEECH, page 458-462. ISCA, (2015)Discovering possible context dependences around SNP sites in human genes with Bayesian network learning., , , , , and . ICARCV, page 1315-1319. IEEE, (2004)