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Showing 161 - 180 results of 4,776 for search '(((( algorithm waning function ) OR ( algorithm b function ))) OR ( algorithm python function ))', query time: 0.47s Refine Results
  1. 161
    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  2. 162
    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  3. 163
    EASP-AODV algorithm for route discovery at the intermediate node.

    EASP-AODV algorithm for route discovery at the intermediate node. by Tibebu Legesse (21030014)

    Published 2025
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  4. 164
    libEnsemble: New capabilities for coordinating dynamic ensembles of calculations

    libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

    Published 2023
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  5. 165
    PSNR (dB) and SSIM of the deblurred images in noisy circumstances on VOC2012 database.

    PSNR (dB) and SSIM of the deblurred images in noisy circumstances on VOC2012 database. by Wei Zhou (24328)

    Published 2020
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  6. 166
    RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10.

    RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10. by Jin Ding (11522)

    Published 2023
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  7. 167
    Loss functions used in the synthetic data analysis to assess the numerical accuracy of the B-net and D-net estimates.

    Loss functions used in the synthetic data analysis to assess the numerical accuracy of the B-net and D-net estimates. by Jarod Smith (11999040)

    Published 2022
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  8. 168
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …”
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  9. 169
    <b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b>

    <b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b> by Mahmoud Medany (20766911)

    Published 2025
    “…<b>e.</b> Impact of different reward functions on the rate of target achievement. …”
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  10. 170
    Visual depiction of the MSA algorithm.

    Visual depiction of the MSA algorithm. by Kayson Fakhar (12890364)

    Published 2022
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  11. 171
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  12. 172
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  13. 173
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  14. 174
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  15. 175
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  16. 176
    The accuracy of different algorithms for TMD on SHL and HTC datasets.

    The accuracy of different algorithms for TMD on SHL and HTC datasets. by Rui Li (4631)

    Published 2025
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  17. 177
    The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations.

    The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

    Published 2021
    “…<p>(A) Overview of the experimental approach (B) Schematic of the eVIP decision tree-based eVIP algorithm. …”
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  18. 178
    Iteration versus fitness function.

    Iteration versus fitness function. by B. Venkatesh (17202747)

    Published 2024
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  19. 179
    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH).

    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

    Published 2024
    “…The hydrogel location, size, shape, and composition are specified, after which an automated script is run, and the output is a chamber with photopatterned hydrogels of different sizes, shapes, and compositions. <b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”
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  20. 180
    Two equivalent switching functions and their switching circuits.

    Two equivalent switching functions and their switching circuits. by Alrik Thiem (4008182)

    Published 2020
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