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Showing 241 - 260 results of 967 for search '(((( algorithm before function ) OR ( algorithm pre function ))) OR ( algorithm python function ))', query time: 0.31s Refine Results
  1. 241
    Confusion matrix values for different size of test samples and different choice of random states.

    Confusion matrix values for different size of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  2. 242
    Comparison of the results obtained with the proposed method with other methods in literature.

    Comparison of the results obtained with the proposed method with other methods in literature. by Abeer Aljohani (18497914)

    Published 2025
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  3. 243
    A comparison of the spectral component of normal and abnormal images combined with the uniform window.

    A comparison of the spectral component of normal and abnormal images combined with the uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  4. 244
    A visual representation of the windows used in the study.

    A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

    Published 2025
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  5. 245
    The spectral component of normal peoples and Covid-19 infected peoples.

    The spectral component of normal peoples and Covid-19 infected peoples. by Abeer Aljohani (18497914)

    Published 2025
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  6. 246
    A comparison of the original images with the filtered images with the binomial window.

    A comparison of the original images with the filtered images with the binomial window. by Abeer Aljohani (18497914)

    Published 2025
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  7. 247
    The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window.

    The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  8. 248
    Graphical illustration of a spectral approach for training support vector machine.

    Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

    Published 2025
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  9. 249
    Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training.

    Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

    Published 2025
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  10. 250
    Confusion matrix representation of classification outcomes.

    Confusion matrix representation of classification outcomes. by Abeer Aljohani (18497914)

    Published 2025
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  11. 251
    The parametric study of the confusion matrix values for different proportion of test samples vs number of nodes from the spectral space.

    The parametric study of the confusion matrix values for different proportion of test samples vs number of nodes from the spectral space. by Abeer Aljohani (18497914)

    Published 2025
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  12. 252
    ROC and precision plots of SVM showing the details of accuracy.

    ROC and precision plots of SVM showing the details of accuracy. by Abeer Aljohani (18497914)

    Published 2025
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  13. 253
    Classification Report of the SVM classifier without using any window.

    Classification Report of the SVM classifier without using any window. by Abeer Aljohani (18497914)

    Published 2025
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  14. 254
    Accuracy of the support vector machines for different proportion of test samples.

    Accuracy of the support vector machines for different proportion of test samples. by Abeer Aljohani (18497914)

    Published 2025
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  15. 255
    Accuracy of the proposed method using SVM combined with the uniform window.

    Accuracy of the proposed method using SVM combined with the uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  16. 256
    Classification Report of the SVM classifier using a uniform window.

    Classification Report of the SVM classifier using a uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  17. 257
    Test on the remeshing algorithm with <i>N</i> = 50 points.

    Test on the remeshing algorithm with <i>N</i> = 50 points. by Ondrej Maxian (8722185)

    Published 2020
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  18. 258
    Identification of a natural compound with mitochondrio-protective activity against hydrogen peroxide-induced mitochondrial damage.

    Identification of a natural compound with mitochondrio-protective activity against hydrogen peroxide-induced mitochondrial damage. by Sophie Charrasse (14885066)

    Published 2024
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  19. 259
    Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ

    Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ by Sarun Horn (20899271)

    Published 2025
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  20. 260
    PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset.

    PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

    Published 2025
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