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HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks.

, , , , , and . FCCM, page 203. IEEE, (2023)

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Dynamic risk assessment framework for industrial systems based on accidents chain theory: The case study of fire and explosion risk of UHV converter transformer., , , , and . Reliab. Eng. Syst. Saf., (2022)MDFL: Multi-domain Diffusion-driven Feature Learning., , , and . CoRR, (2023)Invariant Attribute-Driven Binary Bi-Branch Classification of Hyperspectral and LiDAR Images., , , and . Remote. Sens., 15 (17): 4255 (September 2023)An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation., , , , , and . Sensors, 21 (5): 1605 (2021)HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks., , , , , and . FCCM, page 203. IEEE, (2023)Journal Track Paper ICFPT 2023 : HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks., , , , , and . ICFPT, page 3-4. IEEE, (2023)Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility., , , , , , , and . CoRR, (2024)Transformers in Healthcare: A Survey., , , , , , , , , and 2 other author(s). CoRR, (2023)An Autonomous Fire-fighting Robot with Ackermann Steering Mechanism., , , , and . RCAR, page 612-617. IEEE, (2022)Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image., , , , , and . CoRR, (2024)