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Showing 41 - 60 results of 258 for search 'code ((generation algorithm) OR (encryption algorithm))', query time: 0.17s Refine Results
  1. 41
    Image 1_Plagiarism types and detection methods: a systematic survey of algorithms in text analysis.jpeg

    Image 1_Plagiarism types and detection methods: a systematic survey of algorithms in text analysis.jpeg by Altynbek Amirzhanov (20887919)

    Published 2025
    “…We highlight notable works focusing on cross-language plagiarism detection, source code plagiarism, and intrinsic detection techniques, identifying their contributions and limitations. …”
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  2. 42
    Evaluation and Statistical Analysis Code for "Multi-Task Learning for Joint Fisheye Compression and Perception for Autonomous Driving"

    Evaluation and Statistical Analysis Code for "Multi-Task Learning for Joint Fisheye Compression and Perception for Autonomous Driving" by Basem Ahmed (18127861)

    Published 2025
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  3. 43
    Source code, protocol, and Input/Output data. from Towards an information theoretic framework for MSA sub-sampling

    Source code, protocol, and Input/Output data. from Towards an information theoretic framework for MSA sub-sampling by Christopher Barrett (206055)

    Published 2024
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  4. 44
    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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  5. 45
    The structural mutation of neuroevolution.

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

    Published 2025
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  6. 46
    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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  7. 47
    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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  8. 48
    The speciation of ANEAT model evolution.

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

    Published 2025
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  9. 49
    The analysis of feature importance.

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

    Published 2025
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  10. 50
    S1 Data -

    S1 Data - by Wenbing Shi (5806160)

    Published 2025
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  11. 51
    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. 52
    The fitness of ANEAT model evolution.

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

    Published 2025
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  13. 53
    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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  14. 54
    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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  15. 55
    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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  16. 56
    The structure of the data sample.

    The structure of the data sample. by Wenbing Shi (5806160)

    Published 2025
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  17. 57
    The genome recombination of neuroevolution.

    The genome recombination of neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  18. 58
    The principle of sample data augmentation.

    The principle of sample data augmentation. by Wenbing Shi (5806160)

    Published 2025
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  19. 59
    The fitness of NANEAT model evolution.

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

    Published 2025
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  20. 60
    The speciation of NANEAT model evolution.

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

    Published 2025
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