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    A road lane detection approach based on reformer model by Dan Li, Zan Yang, Wei Nai, Yidan Xing, Ziyu Chen

    Published 2025-03-01
    “…At present, road lane detection methods based on Transformer model are currently considered to be most effective and accurate; however, Transformer model-based road lane detection methods still have their own drawbacks, like high computational complexity of attention mechanisms and defects in activation function and loss functions. …”
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  3. 23

    Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

    Published 2025-03-01
    “…The following keywords in Russian and English were used for selection: "modern methods of prenatal diagnostics", "fetal monitoring", "assessment of fetus functional state", "passive sensors", "artificial intelligence", "machine learning". …”
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    A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption by Linh Nguyen, Quoc Bao Phan, Lan Zhang, Tuy Tan Nguyen

    Published 2025-01-01
    “…However, HE has high computational costs, especially for deep learning models, which require many nonlinear operations, such as activation functions. Traditional HE methods have difficulty handling these nonlinear operations, affecting performance and accuracy. …”
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    SEGMENTATION OF ELECTRONIC PLANOGRAMS BY MEANS OF ARTIFICIAL INTELLIGENCE by V.V. Mikhailishin

    Published 2025-05-01
    “…Computer plantography is one of the methods of diagnosing the condition of the feet. During the calculation of clinical and functional parameters during the study, one of the stages is to identify points lying on the border of the foot's contact zone with the support surface. …”
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