Showing 1,981 - 2,000 results of 5,488 for search 'decision three algorithm', query time: 0.20s Refine Results
  1. 1981
  2. 1982
  3. 1983
  4. 1984

    Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients by Yan Cao, Lanlan Meng, Yifei Wang, Shenglong Zhao, Yuanyuan Zheng, Rui Ran, Jie Du, Hongqiang Wu, Jiaqi Han, Zhengwen Xu, Yifan Lu, Lin Liu, Lu Chen, Jing Wang, Youran Li, Yanhong Zhai, Zhi Sun, Zheng Cao

    Published 2025-02-01
    “…These findings highlight the potential of large-scale prospective metabolomic studies combined with machine learning algorithms in identifying key biomarkers for predicting PE development, while retrospective metabolomics studies provide insights into the pathogenesis of PE.…”
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    Article
  5. 1985
  6. 1986
  7. 1987
  8. 1988
  9. 1989

    Spatiotemporal heterogeneity of the ecological civilization in the Yangtze River economic belt by Li Ma, Huiyuan Zhang, Xiaojie Meng, Qing Lu

    Published 2025-08-01
    “…The ecological civilization progress index (ECPI) is established on the basis of Multicriteria Decision-Making (MCDM) theory, and a three-dimensional indicator system covering environmental, economic, and social dimensions is applied. …”
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    Article
  10. 1990

    Application of Machine Learning in Fault Detection And Classification in Power Transmission Lines by Michel Evariste Tshodi, Nathanael Kasoro, Freddy Keredjim, ALbert Ntumba Nkongolo, Jean-Jacques Katshitshi Matondo, Paul Mbuyi Balowe, Laurent Kitoko

    Published 2024-12-01
    “…The results demonstrated that decision trees are particularly well-suited to this task, with an 88.6205% detection rate and a slightly higher accuracy than the random forest algorithm (87.9212% detection rate). …”
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    Article
  11. 1991

    Hydrological and chemical characteristics of karst groundwater and carbon flux estimation by Qing Wang, Yin Zhang, Ningtao Wang, Mengru Li, Yu Zhang

    Published 2024-12-01
    “…A carbon flux estimation model was established by combining support vector machine regression and sparrow search algorithm to achieve groundwater carbon flux estimation. …”
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    Article
  12. 1992

    Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

    Published 2025-02-01
    “…The results showed that in a 6 × 6 grid with four mines, the DQN model achieved an average win rate of 93.3% (standard deviation: 0.77%), while the supervised learning method achieved 91.2% (standard deviation: 0.9%), both outperforming human players and baseline algorithms and demonstrating high intelligence. …”
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    Article
  13. 1993
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  20. 2000