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Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Chuanlei Zhang,Jiayang Guo Conference proc

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,Der Stromkreis im Quasistationären Zustand,vide a promising supplement to cryptography-based authentication approaches but rely on dedicated equipment to capture in-phase and quadrature (IQ) samples, hindering their wide adoption. Recent advances advocate easily obtainable channel state information (CSI) by commercial WiFi devices for lightw
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https://doi.org/10.1007/978-3-642-53948-0er from issues such as complex model structures, redundant parameters, and high computational demands. Therefore, striking a balance between model lightweighting and accuracy has become a new challenge. This paper is based on the single-stage YOLOv5 algorithm framework and presents an optimized desi
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https://doi.org/10.1007/978-3-662-66188-8re are often various intrinsic textures or color patterns on cloth images which makes it difficult to distinguish anomaly and normality. To tackle this issue, we propose a novel self-supervised anomaly detection method consisting of three steps. Firstly, the Vision Transformer-based generation netwo
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https://doi.org/10.1007/978-3-662-58221-3bustness is challenged because the embedded watermark information is prone to errors, especially noise interference and inversion attacks. In order to improve the robustness of quantum watermarking algorithms, this paper proposes a Quantum Robust Coding (QRC) for the watermark information transforma
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