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Cross-device task interaction framework between the smart watch and the smart phone., , , , , и . Pers. Ubiquitous Comput., 25 (6): 1039-1049 (2021)Sagitta: An Energy-Efficient Sparse 3D-CNN Accelerator for Real-Time 3-D Understanding., , , , , , и . IEEE Internet Things J., 10 (23): 20703-20717 (декабря 2023)CNN Accelerator at the Edge With Adaptive Zero Skipping and Sparsity-Driven Data Flow., , , , и . IEEE Trans. Circuits Syst. Video Technol., 33 (12): 7084-7095 (декабря 2023)LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection., , и . IEEE J. Biomed. Health Informatics, 27 (4): 1845-1856 (апреля 2023)The design and empirical evaluations of 3D positioning techniques for pressure-based touch control on mobile devices., , , , , , и . Personal and Ubiquitous Computing, 22 (3): 525-533 (2018)EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks., , , , , , , и . WWW (Companion Volume), стр. 249-252. ACM / IW3C2, (2020)Pressure-based touch positioning techniques for 3D objects., , и . I3D, стр. 199-200. ACM, (2016)An Energy-Efficient Low-Latency 3D-CNN Accelerator Leveraging Temporal Locality, Full Zero-Skipping, and Hierarchical Load Balance., , , , и . DAC, стр. 241-246. IEEE, (2021)An Energy-Efficient 3D Point Cloud Neural Network Accelerator With Efficient Filter Pruning, MLP Fusion, and Dual-Stream Sampling., , , , , , и . ICCAD, стр. 1-9. IEEE, (2023)Data Augmentation for Multiclass Utterance Classification - A Systematic Study., , , , , и . COLING, стр. 5494-5506. International Committee on Computational Linguistics, (2020)