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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  • The evaluation illusion of large language models in medicine

    The evaluation illusion of large language models in medicine

  • Shah, S. J. et al. Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. J. Am. Med. Inform. Assoc. 32, 375–380 (2025).

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  • DeepFusionNet for realtime classification in iotbased crossmedia art and design using multimodal deep learning

    DeepFusionNet for realtime classification in iotbased crossmedia art and design using multimodal deep learning

    The integration of IoT technologies into cross-media art and design presents significant opportunities for dynamic interaction, user-driven personalization, and multi-sensory engagement. However, conventional systems often lack scalability,…

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  • Modeling the transmission dynamics of Mpox virus

    Modeling the transmission dynamics of Mpox virus

    The methodology employs a compartmental modeling approach to investigate the transmission dynamics of Monkeypox (Mpox). This model extends the SEIR framework by stratifying the infectious phase into Prodromal (P) and Rash (R) compartments,…

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