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  1. 11061

    Evaluating the impact of metabolic indicators and scores on cardiovascular events using machine learning by Guanmou Li, Cheng Luo, Teng Ge, Kunyang He, Miao Zhang, Jinlin Hu, Baoshi Zheng, Rongjun Zou, Xiaoping Fan

    Published 2025-05-01
    “…Through cross-validation to validate model performance, the XGBoost algorithm demonstrated the most accurate performance in predicting cardiovascular outcomes, particularly for diseases like angina and heart failure. …”
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    Article
  2. 11062

    Unmanned Aerial Vehicles Applicability to Mapping Soil Properties Under Homogeneous Steppe Vegetation by Azamat Suleymanov, Mikhail Komissarov, Mikhail Aivazyan, Ruslan Suleymanov, Ilnur Bikbaev, Arseniy Garipov, Raphak Giniyatullin, Olesia Ishkinina, Iren Tuktarova, Larisa Belan

    Published 2025-04-01
    “…In this study, we aimed to predict soil organic carbon, soil texture at several depths, as well as the thickness of the AB soil horizon and penetration resistance using a machine learning algorithm in combination with UAV images. …”
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  3. 11063
  4. 11064
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  6. 11066
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  8. 11068
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  11. 11071

    Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions by Somaiya Al Shuraiqi, Abdulrahman Aal Abdulsalam, Ken Masters, Hamza Zidoum, Adhari AlZaabi

    Published 2024-10-01
    “…The automatic creation of educational materials, particularly MCQs, is pivotal in enhancing teaching effectiveness and student engagement in medical education. …”
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    Article
  12. 11072

    The innovation path of VR technology integration into music classroom teaching in colleges and universities by Yupeng Han, Lin Han, Chun Zeng, Wei Zhao

    Published 2025-04-01
    “…Abstract Traditional music education in higher education institutions has traditionally followed a one-size-fits-all teaching model, which limits student interaction and hinders personalized learning. …”
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  13. 11073
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  18. 11078

    Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels [version 2; peer review: 2 approved] by Jiansong Wu, Jitao Cai, Ziqi Han, Yanzhu Hu, Ming Fu, Yuefei Li, Xin Wang, Xiaofu Zou

    Published 2024-12-01
    “…Based on this model, real-time integration of gas sensor data from utility tunnels is achieved through the DA algorithm. Therefore, the predicted results can be calibrated by the continuous data in the absence of complete source term information. …”
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    Article
  19. 11079

    Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

    Published 2024-09-01
    “…Additionally, clustering techniques, such as k-means, were employed to identify different forms of theft crimes. Classification algorithms, including neural networks, Bayesian rules, Bayesian navigation, and support vector machines, were used to predict theft crimes. …”
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  20. 11080

    Optimization of Traffic Congestion Management in Smart Cities under Bidirectional Long and Short-Term Memory Model by Yujia Zhai, Yan Wan, Xiaoxiao Wang

    Published 2022-01-01
    “…To solve the increasingly serious traffic congestion and reduce traffic pressure, the bidirectional long and short-term memory (BiLSTM) algorithm is adopted to the traffic flow prediction. …”
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    Article