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    PyNET-Q×Q: An Efficient PyNET Variant for Q×Q Bayer Pattern Demosaicing in CMOS Image Sensors by Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Albert No

    Published 2023-01-01
    “…Deep learning-based image signal processor (ISP) models for mobile cameras can generate high-quality images that rival those of professional DSLR cameras. …”
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  12. 2192

    16-channel photonic solver for optimization problems on a silicon chip by Jiayi Ouyang, Shengping Liu, Ziyue Yang, Wei Wang, Xue Feng, Yongzhuo Li, Yidong Huang

    Published 2025-03-01
    “…The photonic chip is employed to perform the optical vector-matrix multiplication (OVMM) to calculate the cost function of the QUBO problem, while the electronic processor runs the heuristic algorithm to search for the optimal solution. …”
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    Parallel Jacobian Computation Based on Distance-2 Algorithm and Its Application in Coupling Problems by LIU Lixun, ZHANG Han, PENG Xinru, DOU Qinrong, WU Yingjie, GUO Jiong, LI Fu

    Published 2024-06-01
    “…The Jacobian coloring and Jacobian computing based on this method were tested under a different number of processors. …”
    Article
  17. 2197

    Towards Human-like Artificial Intelligence: A Review of Anthropomorphic Computing in AI and Future Trends by Jiacheng Zhang, Haolan Zhang

    Published 2025-06-01
    “…With the advancements in EEG signal processing technology, its integration with AI has become increasingly close. …”
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  18. 2198

    A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing by Yongqing Yue, Zixia Yu, Fangpei Li, Wenbo Peng, Quanzhe Zhu, Yongning He

    Published 2024-12-01
    “…Neuromorphic computing, inspired by the brain, holds significant promise for advancing artificial intelligence. …”
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    Efficient Resource Allocation for Blockchain-Enabled Mobile Edge Computing: A Joint Optimization Approach by Moein Valitabar, Mohammad Fathi, Keivan Navaie

    Published 2025-01-01
    “…The solution assigns mobile terminals (MTs) to ESs and optimally allocates computational resources at ESs for both task computation and block generation. …”
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    Hierarchical Reinforcement Learning for Multi-Layer Multi-Service Non-Terrestrial Vehicular Edge Computing by Swapnil Sadashiv Shinde, Daniele Tarchi

    Published 2024-01-01
    “…Next, we model the latency and energy requirements for processing the VU tasks through partial computation offloading operations. …”
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