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Showing 1 - 20 results of 3,920 for search '(( element new algorithm ) OR ((( test using algorithm ) OR ( neural coding algorithm ))))', query time: 0.32s Refine Results
  1. 1
    Data and code resources.

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

    Published 2025
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  2. 2
    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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  3. 3
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  4. 4
    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40).

    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

    Published 2025
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  5. 5
    Evaluation indexes of different methods on the test set.

    Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  6. 6
    The comparison of different prediction methods on the test set.

    The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  7. 7
    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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  8. 8
    Algorithm testing.

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
    “…To address the parameter estimation problem, a novel metaheuristic algorithm, the chaotic honey-badger algorithm, is developed and evaluated. …”
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  9. 9
    The accuracy of anchor-free algorithms using test-set.

    The accuracy of anchor-free algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
    “…<p>The accuracy of anchor-free algorithms using test-set.</p>…”
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  10. 10
    The accuracy of anchor-based algorithms using test-set.

    The accuracy of anchor-based algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
    “…<p>The accuracy of anchor-based algorithms using test-set.</p>…”
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  11. 11
    Algorithm comparison test results.

    Algorithm comparison test results. by Hang Ren (1312905)

    Published 2025
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  12. 12
    The structure of the NANEAT model corresponds to the optimal species genome.

    The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  13. 13
    The structural mutation of neuroevolution.

    The structural mutation of neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  14. 14
    The CGO risk prediction process based on data augmentation and neuroevolution.

    The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  15. 15
    The speciation of ANEAT model evolution.

    The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  16. 16
    The analysis of feature importance.

    The analysis of feature importance. by Wenbing Shi (5806160)

    Published 2025
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  17. 17
    S1 Data -

    S1 Data - by Wenbing Shi (5806160)

    Published 2025
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  18. 18
    The fitness of ANEAT model evolution.

    The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  19. 19
    The structure of the ANEAT model corresponds to the optimal species genome.

    The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  20. 20
    The construction process of the CGO prediction model.

    The construction process of the CGO prediction model. by Wenbing Shi (5806160)

    Published 2025
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