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    MSKT: multimodal data fusion for improved nursing management in hemorrhagic stroke by Ting Zhou, Dandan Li, Jingfang Zuo, Aihua Gu, Li Zhao

    Published 2025-06-01
    “…Results The proposed MSKT-NSGP model outperformed traditional algorithms in prediction accuracy, computational efficiency, and uncertainty handling. For hematoma expansion prediction, it achieved 85.5% accuracy, an area under the curve (AUC) of 0.87, and reduced mean squared error (MSE) by 18% compared to the sparse variational Gaussian process (SVGP). …”
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    Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation by Pierre Boulanger, Sadid Bin Hasan

    Published 2025-05-01
    “…Our work bridges the gap between theoretical elegance and computational practicality, establishing geodesic filtering as a superior solution for challenging image processing tasks in fields ranging from medical imaging to remote sensing.…”
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    Wearable Sensor-Based Exercise Monitoring System for Higher Education Students Using a Multi-Attribute Fuzzy Evaluation Model by Shiping Yu, Xiaowei Peng

    Published 2024-01-01
    “…In addition, the method uses preprocessing, fuzzification, defuzzification and rule evaluation processes. These steps are adjusted according to the threshold value that maximizes the personalization and holistic assessment efficiency because the system uses multiple attributes. …”
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    Utilizing machine and deep learning algorithms to identify learning-related features in electroencephalography data during second language acquisition by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Mohammed Tawfik

    Published 2025-12-01
    “…The results highlight significant neural activation in the left frontal and temporal lobes, particularly in Broca’s and Wernicke’s areas, when processing second-language stimuli. This study contributes to neurolinguistics by demonstrating how machine learning can effectively classify EEG patterns related to language learning, paving the way for future research on cognitive and computational models of SLA.…”
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  17. 6877

    Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

    Published 2024-12-01
    “…Future work will explore integrating deep learning methods that incorporate temporal attention mechanisms and automated removal processes.…”
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  18. 6878

    Numerical Simulation of Earthquake Impacts on Marine Structures: A Comprehensive Review by Adel Kabi, Jersson X. Leon-Medina, Francesc Pozo

    Published 2024-12-01
    “…Nonetheless, discrepancies remain, particularly in capturing energy dissipation processes in existing models. Future advancements in computational capabilities and techniques, such as high-resolution DNS for wave–structure interactions and improved near-field seismoacoustic modeling show potential for enhancing simulation accuracy. …”
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    Simplified polyp-canal system of stony coral Seriatopora hystrix protects its branching areas in the flow field by Yixin Li, Yixin Li, Zuhong Lu, Yunpeng Zhao, Chunpeng He

    Published 2025-05-01
    “…Seriatopora hystrix displays a unique structural trait, with its calices and canals making up only about 15% of the colony volume, lower than the 40-50% observed in other widely distributed genera such as Acropora, Montipora, Pocillopora, or Stylophora. We used micro-computed tomography to visualize the polyp-canal system of S. hystrix, quantify its growth parameters, and simulate the dynamic processes of polyp budding and movement. …”
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