Category: 7. Maths

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  • Anston attentional network for structured data based stroke risk prediction in smart aging

    Anston attentional network for structured data based stroke risk prediction in smart aging

    In this section, we mainly describe the evaluation indicators, prediction results, feature contribution analysis methods, and model optimization used when conducting Anston model experiments. During the implementation of the Anston model, the…

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  • Assessment of patient satisfaction with the hemodialysis experience using an integrated decision-making approach with rough numbers

    Assessment of patient satisfaction with the hemodialysis experience using an integrated decision-making approach with rough numbers

    In this section, in order to handle the ambiguity and fuzziness in patient satisfaction assessment with linguistic assessment information, an R-BWM-GLDS method is proposed. The proposed method consists of two phases. In the first phase, a group…

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  • Population-based variance-reduced evolution over stochastic landscapes

    Population-based variance-reduced evolution over stochastic landscapes

    We present the PVRE method for handling problem (1) in black-box settings. PVRE combines Gaussian smoothing and STORM to reduce the sampling noise in both the data space and the solution space. It also uses a normalized descent rule to achieve…

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  • Machine learning approaches overcome imbalanced clinical data for intraoral free flap monitoring

    Machine learning approaches overcome imbalanced clinical data for intraoral free flap monitoring

    Artificial intelligence has revolutionized medical imaging, particularly in diagnosis and segmentation. Numerous studies have employed artificial neural networks to identify diseases and predict prognosis in various fields, including neurosurgery…

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