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Showing 81 - 100 results of 10,017 for search '(( element method algorithm ) OR ((( data encoding algorithm ) OR ( data using algorithm ))))', query time: 0.46s Refine Results
  1. 81
    Summary of key parameters used in the CSCAP algorithm.

    Summary of key parameters used in the CSCAP algorithm. by Manxing Shi (22367181)

    Published 2025
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  2. 82
    Features selection using the Boruta algorithm.

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

    Published 2025
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  3. 83
    Parameters of the machine learning algorithms used in the study.

    Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

    Published 2025
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  4. 84
    Data generation algorithm.

    Data generation algorithm. by Aluwani Ramalata (21262977)

    Published 2025
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  5. 85
    Performance of machine learning algorithms.

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

    Published 2025
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  6. 86
    Algorithm for optimizing the model using transformer.

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

    Published 2025
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  7. 87
    Schematic diagram of the pillar encoding.

    Schematic diagram of the pillar encoding. by Xinpeng Yao (18882573)

    Published 2025
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  8. 88
    Depiction of how predictions are made from the output embeddings. The largest encoded multi-scale feature map is resized and combined with the original multi-scale features to form the pixel embedding map. The dot product of the output embeddings and the pixel embedding map produces the segmentation masks. A linear layer is used to predict the class label and a multi-layer perceptron (MLP) is used to generate the bounding box. For output embeddings classified as “no object”, the bounding boxes and segmentation masks are ignored.

    Depiction of how predictions are made from the output embeddings. The largest encoded multi-scale feature map is resized and combined with the original multi-scale features to form... by Owen M. O’Connor (11965460)

    Published 2025
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  9. 89
    Spatial spectrum of the 100th frame under array distortion conditions (20 elements).

    Spatial spectrum of the 100th frame under array distortion conditions (20 elements). by Gaoxiang Xing (21755689)

    Published 2025
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  10. 90
    Summary of major algorithms used for signal detection.

    Summary of major algorithms used for signal detection. by Feilong Tan (14886395)

    Published 2025
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  11. 91
    Mean, standard deviation (SD) and coefficient of variation (CV) of MRI-derived myelin water fraction (MWF) in the medial corpus callosum (MCC). Values were obtained using the data-driven mcT<sub>2</sub> approach and using the conventional approach. Rightmost column contains reference values, derived from histology.

    Mean, standard deviation (SD) and coefficient of variation (CV) of MRI-derived myelin water fraction (MWF) in the medial corpus callosum (MCC). Values were obtained using the data-... by Noam Omer (21402801)

    Published 2025
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  12. 92
    Data propagation algorithm stages.

    Data propagation algorithm stages. by Fazia Akhtar (21453122)

    Published 2025
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  13. 93
    MRI-derived myelin water fraction (MWF) maps produced by the data-driven and conventional (non data-driven) approaches in a cuprizone-fed mouse and a healthy control mouse.

    MRI-derived myelin water fraction (MWF) maps produced by the data-driven and conventional (non data-driven) approaches in a cuprizone-fed mouse and a healthy control mouse. by Noam Omer (21402801)

    Published 2025
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  14. 94
    Detailed characterization of the dataset.

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

    Published 2024
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  15. 95
    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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  16. 96
    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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  17. 97
    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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  18. 98
    Performances of text augmentation approaches.

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

    Published 2024
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  19. 99
    Hyperparameters for each classification model.

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

    Published 2024
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  20. 100
    SentiGAN configuration parameters.

    SentiGAN configuration parameters. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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