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• W4281255006 abstract "Commercial Wi-Fi devices can be used for integrated sensing and communications (ISAC) to jointly exchange data and monitor indoor environment. In this paper, we investigate a proof-of-concept approach using automated quantum machine learning (AutoQML) framework called AutoAnsatz to recognize human gesture. We address how to efficiently design quantum circuits to configure quantum neural networks (QNN). The effectiveness of AutoQML is validated by an in-house experiment for human pose recognition, achieving state-of-the-art performance greater than 80% accuracy for a limited data size with a significantly small number of trainable parameters." @default.
• W4281255006 created "2022-05-23" @default.
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• W4281255006 date "2022-06-20" @default.
• W4281255006 modified "2023-10-16" @default.
• W4281255006 title "AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications" @default.
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• W4281255006 doi "https://doi.org/10.1109/sam53842.2022.9827846" @default.
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