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FPGA-Based High-Throughput CNN Hardware Accelerator With High Computing Resource Utilization Ratio., , , , , , и . IEEE Trans. Neural Networks Learn. Syst., 33 (8): 4069-4083 (2022)A High-performance Deployment Framework for Pipelined CNN Accelerators with Flexible DSE Strategy., , , и . HPEC, стр. 1-8. IEEE, (2022)BSTMSM: A High-Performance FPGA-based Multi-Scalar Multiplication Hardware Accelerator., , , и . ICFPT, стр. 35-43. IEEE, (2023)Research and Application of a Tourism Recommendation System Based on Emotional Analysis., , , и . ICMLCA, стр. 386-391. ACM, (2023)Toward Constructing a Real-time Social Anxiety Evaluation System: Exploring Effective Heart Rate Features., , , , , , , и . IEEE Trans. Affect. Comput., 11 (1): 100-110 (2020)Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals., , , , , и . IEEE Trans. Affect. Comput., 5 (2): 126-140 (2014)Hardware Design and Implementation of Classic McEliece Post-Quantum Cryptosystem Based on FPGA., , , и . HPEC, стр. 1-6. IEEE, (2022)A Novel Hardware Accelerator of NeRF Based on Xilinx UltraScale and UltraScale+ FPGA., , и . FPL, стр. 197-203. IEEE, (2023)HR-GCN: An Efficient GCN Accelerator for Heterogeneous Graph Data and R-GCN Model., , , , и . FPGA, стр. 186. ACM, (2024)TFR-GCN: A GCN Accelerator with Tile-Fusing Strategy., , и . FCCM, стр. 1. IEEE, (2022)