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Showing 1 - 20 results of 334 for search '(( element novel algorithm ) OR ((( waste processing algorithm ) OR ( neural coding algorithm ))))*', query time: 0.43s Refine Results
  1. 1
    This is The amount of medical waste generated and processed in China.

    This is The amount of medical waste generated and processed in China. by Chen Hao (352436)

    Published 2025
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  2. 2
    The amount of medical waste generated and processed in China.

    The amount of medical waste generated and processed in China. by Chen Hao (352436)

    Published 2025
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  3. 3
    Automated Resource Recovery Processes for Electronic Waste Recycling

    Automated Resource Recovery Processes for Electronic Waste Recycling by Aseni Senanayake (21584965)

    Published 2025
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  4. 4
    Decoding process.

    Decoding process. by Jihui Hu (19812736)

    Published 2024
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  5. 5
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  6. 6
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  7. 7
    NSGA-II process based on minimum envelope clustering.

    NSGA-II process based on minimum envelope clustering. by Chen Hao (352436)

    Published 2025
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  8. 8
    Comparison of algorithms across metrics in test problems.

    Comparison of algorithms across metrics in test problems. by Jihui Hu (19812736)

    Published 2024
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  9. 9
    The selection process of the ONDL model among other models.

    The selection process of the ONDL model among other models. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
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  10. 10
    ANOVA was performed to test the differences between the algorithms for each indicator.

    ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

    Published 2024
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  11. 11
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  12. 12
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  13. 13
    ML algorithms in cyber security.

    ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

    Published 2025
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  14. 14
    Processed data for figures.

    Processed data for figures. by Jin Zhang (53297)

    Published 2025
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  15. 15
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  16. 16
    Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression

    Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression by Francesco Negri (12992994)

    Published 2025
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  17. 17
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  18. 18
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  19. 19
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  20. 20
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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