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Showing 1 - 20 results of 3,514 for search '(((( complement wsd algorithm ) OR ( elements learning algorithm ))) OR ( levels using algorithm ))', query time: 0.44s Refine Results
  1. 1
    Example measurement and analysis units for landscape elements.

    Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

    Published 2025
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  2. 2
    Performance of machine learning algorithms.

    Performance of machine learning algorithms. by Wenxue Liu (6877754)

    Published 2025
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  3. 3
    Sanitized databases using MLHProtector algorithm.

    Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

    Published 2025
    “…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”
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  4. 4
    Description of the dataset used for the machine learning algorithm.

    Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

    Published 2024
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  5. 5
    Algorithm factor level change curve.

    Algorithm factor level change curve. by Kuiyuan Pan (21145338)

    Published 2025
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  6. 6
    Risk element category diagram.

    Risk element category diagram. by Yao Hu (3479972)

    Published 2025
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  7. 7
    Algorithm used for dose reconstruction in workers.

    Algorithm used for dose reconstruction in workers. by Jonathan Côté (527819)

    Published 2024
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  8. 8
    Clinical use algorithm.

    Clinical use algorithm. by Chibuike K. Uwakwe (22655742)

    Published 2025
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  9. 9
    The frequency distribution of ranking levels for different algorithms.

    The frequency distribution of ranking levels for different algorithms. by Yating Ji (11819687)

    Published 2025
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  10. 10
    Algorithm used for the determination of the model parametric values.

    Algorithm used for the determination of the model parametric values. by Jonathan Côté (527819)

    Published 2024
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  11. 11
    Algorithmic experimental parameter design.

    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.</p></div>…”
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  12. 12
    Features selection using the Boruta algorithm.

    Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

    Published 2025
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  13. 13
    <b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b>

    <b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

    Published 2025
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  14. 14
    Algorithm for optimizing the model using transformer.

    Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

    Published 2025
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  15. 15
    Flowchart of DQN algorithm.

    Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

    Published 2025
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  16. 16
    Comparison of different algorithms.

    Comparison of different algorithms. by Jiandong Qiu (20389944)

    Published 2025
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  17. 17
    Spatial spectrum estimation for three algorithms.

    Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

    Published 2024
    “…This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.</p></div>…”
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  18. 18
    Machine Learning Models for Efficient Property Prediction of ABX<sub>3</sub> Materials: A High-Throughput Approach

    Machine Learning Models for Efficient Property Prediction of ABX<sub>3</sub> Materials: A High-Throughput Approach by Soundous Touati (20282599)

    Published 2024
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  19. 19
    Machine Learning Models for Efficient Property Prediction of ABX<sub>3</sub> Materials: A High-Throughput Approach

    Machine Learning Models for Efficient Property Prediction of ABX<sub>3</sub> Materials: A High-Throughput Approach by Soundous Touati (20282599)

    Published 2024
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  20. 20
    Machine Learning Models for Efficient Property Prediction of ABX<sub>3</sub> Materials: A High-Throughput Approach

    Machine Learning Models for Efficient Property Prediction of ABX<sub>3</sub> Materials: A High-Throughput Approach by Soundous Touati (20282599)

    Published 2024
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