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Showing 61 - 80 results of 969 for search '(((( algorithm pre functional ) OR ( algorithm ai function ))) OR ( algorithm python function ))', query time: 0.31s Refine Results
  1. 61
    Comparisons among the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms with metal artifact reduction (MAR) processing in the in-focus plane.

    Comparisons among the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms wi... by Tsutomu Gomi (7382183)

    Published 2019
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  2. 62
    datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf

    datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf by Santiago Hernández-Orozco (5070209)

    Published 2021
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  3. 63
    datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip

    datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip by Santiago Hernández-Orozco (5070209)

    Published 2021
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  4. 64
    datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf

    datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf by Santiago Hernández-Orozco (5070209)

    Published 2021
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  5. 65
    datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip

    datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip by Santiago Hernández-Orozco (5070209)

    Published 2021
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  6. 66
    Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm.

    Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm. by Adhiraj Nath (17118269)

    Published 2023
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  7. 67
    Data pre-processing and identification of DEGs.

    Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

    Published 2025
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  8. 68
    Differential expression analysis of the NAFLD and AIS datasets.

    Differential expression analysis of the NAFLD and AIS datasets. by Junjie Su (368807)

    Published 2025
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  9. 69
    Fitting of cumulative number of cases in a pre-lockdown period.

    Fitting of cumulative number of cases in a pre-lockdown period. by Wang Xiang (5435141)

    Published 2024
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  10. 70
    Average accuracy (across all 12 subject) as a function of the number of eigenvectors obtained with different dimensionality reduction techniques for the best classifier—k-NN (see also Table 3).

    Average accuracy (across all 12 subject) as a function of the number of eigenvectors obtained with different dimensionality reduction techniques for the best classifier—k-NN (see a... by Elnaz Lashgari (11278808)

    Published 2021
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  11. 71
    Comparisons of the artifact indices (AIs) determined for in-focus plane images procured via the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms with metal artifact reduction (MAR) processing.

    Comparisons of the artifact indices (AIs) determined for in-focus plane images procured via the denoising convolutional neural network metal artifact reduction hybrid reconstructio... by Tsutomu Gomi (7382183)

    Published 2019
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  12. 72
    On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform

    On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform by Zhehong Ai (17937324)

    Published 2024
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  13. 73
    Flowchart of the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm.

    Flowchart of the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm. by Tsutomu Gomi (7382183)

    Published 2019
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  14. 74
    As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76].

    As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor... by Daniela Huppenkothen (9174507)

    Published 2020
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  15. 75
    Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025)

    Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025) by Reality Drift Working Papers Series 2020-2025 (22445446)

    Published 2025
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  16. 76
    Automatic cropping algorithm.

    Automatic cropping algorithm. by Thomas W Georgi (12427189)

    Published 2022
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  17. 77
    Supplementary file 1_Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI.zip

    Supplementary file 1_Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI.zip by Nina de Lacy (6559520)

    Published 2025
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  18. 78
    Fig 9 -

    Fig 9 - by Xutao Liu (13006965)

    Published 2023
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  19. 79
    Fig 10 -

    Fig 10 - by Xutao Liu (13006965)

    Published 2023
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  20. 80
    Feature subset search results.

    Feature subset search results. by Xutao Liu (13006965)

    Published 2023
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