Suchergebnisse - "Extreme Gradient Boosting algorithm (XGBoost) Algorithm"

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  1. 1

    A risk-aware bidding model for virtual power plants: Integrating renewable energy forecasting and carbon market strategies von Singh, Kumari Nutan, Goswami, Arup Kumar, Chudhury, Nalin Behari Dev, Cali, Umit, Ustun, Taha Selim

    ISSN: 2352-4847, 2352-4847
    Veröffentlicht: Elsevier Ltd 01.12.2025
    Veröffentlicht in Energy reports (01.12.2025)
    “… ). This study introduces a novel bidding model within a VPP environment that leverages Extreme Gradient Boosting algorithm (XGBoost …”
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  2. 2

    Performance-oriented road structure and material design method based on enhanced XGBoost algorithm von Li, Jiale, Zhang, Zhishuai, Wang, Xuefei

    ISSN: 1029-8436, 1477-268X
    Veröffentlicht: Abingdon Taylor & Francis 31.12.2024
    Veröffentlicht in The international journal of pavement engineering (31.12.2024)
    “… ) algorithm and the extreme gradient boosting algorithm (XGBoost) algorithm. Subsequently, an automated design model encompassing pavement thickness, pavement material …”
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  3. 3

    A clinical diagnostic model based on an eXtreme Gradient Boosting algorithm to distinguish type 1 diabetes von Tang, Xiaohan, Tang, Rui, Sun, Xingzhi, Yan, Xiang, Huang, Gan, Zhou, Houde, Xie, Guotong, Li, Xia, Zhou, Zhiguang

    ISSN: 2305-5839, 2305-5839
    Veröffentlicht: China 01.03.2021
    Veröffentlicht in Annals of translational medicine (01.03.2021)
    “… Accurate classification of type 1 diabetes (T1DM) and type 2 diabetes (T2DM) in the early phase is crucial for individual precision treatment. This study aimed …”
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  4. 4

    Predictive modeling of breast cancer-related lymphedema using machine learning algorithms von Sun, Yang, Xia, Xiaomin, Liu, Xia

    ISSN: 2227-684X
    Veröffentlicht: China (Republic : 1949- ) 31.12.2024
    Veröffentlicht in Gland surgery (31.12.2024)
    “… Breast cancer-related lymphedema (BCRL) is one of the common complications after breast cancer surgery. It can easily lead to limb swelling, deformation and …”
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  5. 5

    Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery von Jiang, Haiye, Liu, Leping, Wang, Yongjun, Ji, Hongwen, Ma, Xianjun, Wu, Jingyi, Huang, Yuanshuai, Wang, Xinhua, Gui, Rong, Zhao, Qinyu, Chen, Bingyu

    ISSN: 2297-055X, 2297-055X
    Veröffentlicht: Switzerland Frontiers Media S.A 16.12.2021
    Veröffentlicht in Frontiers in cardiovascular medicine (16.12.2021)
    “… Background: This study intended to use a machine learning model to identify critical preoperative and intraoperative variables and predict the risk of several …”
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