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    A Reconfigurable Coarse-to-Fine Approach for the Execution of CNN Inference Models in Low-Power Edge Devices by Auangkun Rangsikunpum, Sam Amiri, Luciano Ost

    Published 2024-01-01
    “…To efficiently deploy CNN inference models on resource-constrained edge devices, field programmable gate arrays (FPGAs) have become a viable processing solution because of their unique hardware characteristics, enabling flexibility, parallel computation and low-power consumption. …”
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    A State-Based Modeling Approach for Efficient Performance Evaluation of Embedded System Architectures at Transaction Level by Anthony Barreteau, Sébastien Le Nours, Olivier Pasquier

    Published 2012-01-01
    “…Abstract models are necessary to assist system architects in the evaluation process of hardware/software architectures and to cope with the still increasing complexity of embedded systems. …”
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    Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG by Wenwen Chang, Wenchao Nie, Yueting Yuan, Yuchan Zhang, Renjie Lv, Lei Zheng, Guanghui Yan

    Published 2023-01-01
    “…Based on the brain signals, decoding and analyzing the gait features to make a reliable prediction of action intention are the core issues in the brain computer interface (BCI)-based hybrid rehabilitation and intelligent walking aid robot system. …”
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