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Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance., , и . CoRR, (2022)A Reconfigurable Streaming Processor for Real-Time Low-Power Execution of Convolutional Neural Networks at the Edge., , , , и . EDGE, том 10973 из Lecture Notes in Computer Science, стр. 49-64. Springer, (2018)A Novel 1D-Convolution Accelerator for Low-Power Real-time CNN processing on the Edge., , , , и . HPEC, стр. 1-8. IEEE, (2018)AWARE-CNN: Automated Workflow for Application-Aware Real-Time Edge Acceleration of CNNs., , , и . IEEE Internet Things J., 7 (10): 9318-9329 (2020)Single Run Action Detector over Video Stream - A Privacy Preserving Approach., , , , и . CoRR, (2021)ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation., , , , , и . ICPRAI (2), том 13364 из Lecture Notes in Computer Science, стр. 258-270. Springer, (2022)Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance., , и . SEC, стр. 121-134. IEEE, (2021)Comprehensive characterization of tungsten microwires in chronic neurocortical implants., , , , , , и . EMBC, стр. 755-758. IEEE, (2012)A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces., , , и . IJCNN, стр. 2250-2255. IEEE, (2007)A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control., , , , , и . Comput. Intell. Neurosci., (2014)