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Showing 121 - 140 results of 8,047 for search '(( elements method algorithm ) OR ((( data encoding algorithm ) OR ( based data algorithm ))))', query time: 0.36s Refine Results
  1. 121
    LPCRC-Scheme- 2 encoding.

    LPCRC-Scheme- 2 encoding. by R. Sakthivel (2589547)

    Published 2024
    “…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”
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  2. 122
    (EBRGC)-Scheme- 3 encoding.

    (EBRGC)-Scheme- 3 encoding. by R. Sakthivel (2589547)

    Published 2024
    “…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”
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  3. 123
    (HSCRC) Scheme-1 encoding.

    (HSCRC) Scheme-1 encoding. by R. Sakthivel (2589547)

    Published 2024
    “…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”
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  4. 124
    Detailed characterization of the dataset.

    Detailed characterization of the dataset. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  5. 125
    Examples of EA selection rules (positive results).

    Examples of EA selection rules (positive results). by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  6. 126
    Examples of SA selection rules (negative results).

    Examples of SA selection rules (negative results). by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  7. 127
    Criteria for detailed characterization of the dataset.

    Criteria for detailed characterization of the dataset. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  8. 128
    Performances of text augmentation approaches.

    Performances of text augmentation approaches. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  9. 129
    Hyperparameters for each classification model.

    Hyperparameters for each classification model. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  10. 130
    SentiGAN configuration parameters.

    SentiGAN configuration parameters. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  11. 131
    Results for the baseline.

    Results for the baseline. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  12. 132
    Examples of EA selection rules (negative results).

    Examples of EA selection rules (negative results). by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  13. 133
    Characterization of datasets.

    Characterization of datasets. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  14. 134
    EDA augmentation parameters.

    EDA augmentation parameters. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  15. 135
    Augmentation levels with back-translation.

    Augmentation levels with back-translation. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  16. 136
    Method of work.

    Method of work. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  17. 137
    Flow of the experiments.

    Flow of the experiments. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  18. 138
    Examples of SA selection rules (positive results).

    Examples of SA selection rules (positive results). by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  19. 139
    Examples of sentence transformation, Balakrishnan <i>et al</i>.

    Examples of sentence transformation, Balakrishnan <i>et al</i>. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  20. 140
    <i>F1-score</i> results [40].

    <i>F1-score</i> results [40]. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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