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  1. No Access

    Chapter

    Compilation and Optimizations for Efficient Machine Learning on Embedded Systems

    Deep Neural Networks (DNNs) have achieved great success in a variety of machine learning (ML) applications, delivering high-quality inferencing solutions in computer vision, natural language processing, virtua...

    **aofan Zhang, Yao Chen, Cong Hao in Embedded Machine Learning for Cyber-Physic… (2024)

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    Chapter and Conference Paper

    RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

    Accurately segmenting temporal frames of cine magnetic resonance imaging (MRI) is a crucial step in various real-time MRI guided cardiac interventions. To achieve fast and accurate visual assistance, there are...

    Qing Lu, **aowei Xu, Shunjie Dong, Cong Hao in Medical Image Computing and Computer Assis… (2022)

  3. No Access

    Chapter and Conference Paper

    Design of Integrated Energy Market Service System Based on Blockchain Smart Contract

    There are some problems in the traditional integrated energy market, such as single transaction mode, difficulty in effective dispatch, and lack of targeted subject to provide integrated energy market services...

    Wang Lei, Ma Yichao, Zhu Liuzhu, Wang Xuli in Proceedings of 2021 International Top-Leve… (2022)

  4. Article

    Open Access

    Cytocompatibility of Ti–xZr alloys as dental implant materials

    Ti–xZr (x = 5, 15, 25, 35, 45% wt%) alloys with low elastic modulus and high mechanical strength were fabricated as a novel implant material. The biocompatibility of the Ti–xZr alloys was evaluated by osteoblast-...

    **hua Ou, Cong Hao, Jue Liu, Rengui He in Journal of Materials Science: Materials in… (2021)

  5. Chapter and Conference Paper

    The Sixth Visual Object Tracking VOT2018 Challenge Results

    The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...

    Matej Kristan, Aleš Leonardis, Jiří Matas in Computer Vision – ECCV 2018 Workshops (2019)