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Showing 101 - 120 results of 692 for search '(( python effective implementation ) OR ( ((python tool) OR (python code)) implementation ))*', query time: 0.35s Refine Results
  1. 101
    finalimplementation.py

    finalimplementation.py by Shahid Iqbal (13129134)

    Published 2022
    “…<p>Python code file for implementation of ML models</p>…”
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  2. 102
    Implementation of the Stable Environment Model for Surface Sediment Processes

    Implementation of the Stable Environment Model for Surface Sediment Processes by Niklas Hohmann (9415061)

    Published 2021
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  3. 103
    Python Code for Fine-Tuned BERT Model in High School Student Advising

    Python Code for Fine-Tuned BERT Model in High School Student Advising by Suha Assayed (22454038)

    Published 2025
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  4. 104
    AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

    AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings by Jerome Eberhardt (6311801)

    Published 2021
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  5. 105
    Axisymmetric simulation of circular concrete-filled double-skin steel tubular short columns incorporating outer stainless-steel tube

    Axisymmetric simulation of circular concrete-filled double-skin steel tubular short columns incorporating outer stainless-steel tube by Tuan Trung Le (9075169)

    Published 2020
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  6. 106
    Python implementation of a wildfire propagation example using m:n-CAk over Z and R.

    Python implementation of a wildfire propagation example using m:n-CAk over Z and R. by Pau Fonseca i Casas (9507338)

    Published 2025
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  7. 107
    Limitations of segmentation.

    Limitations of segmentation. by Owen M. O’Connor (11965460)

    Published 2022
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  8. 108
    Utilizing variable background weight maps for training the model on debris.

    Utilizing variable background weight maps for training the model on debris. by Owen M. O’Connor (11965460)

    Published 2022
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  9. 109
    Reducing the size of the model to increase speed.

    Reducing the size of the model to increase speed. by Owen M. O’Connor (11965460)

    Published 2022
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  10. 110
    Accuracy of the segmentation model.

    Accuracy of the segmentation model. by Owen M. O’Connor (11965460)

    Published 2022
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  11. 111
    Segmentation and tracking of cells within a microcolony.

    Segmentation and tracking of cells within a microcolony. by Owen M. O’Connor (11965460)

    Published 2022
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  12. 112
    Schematic showing how the tracking model uses the inputs to make predictions.

    Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

    Published 2022
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  13. 113
    Training the model on segmentation with custom weight maps.

    Training the model on segmentation with custom weight maps. by Owen M. O’Connor (11965460)

    Published 2022
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  14. 114
    Impact of frame shifts on tracking model performance.

    Impact of frame shifts on tracking model performance. by Owen M. O’Connor (11965460)

    Published 2022
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  15. 115
    Pole age and its impact on growth rate.

    Pole age and its impact on growth rate. by Owen M. O’Connor (11965460)

    Published 2022
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  16. 116
    Time-lapse movie of a dense bacterial microcolony growing in a microfluidic device analyzed by DeLTA 2.0.

    Time-lapse movie of a dense bacterial microcolony growing in a microfluidic device analyzed by DeLTA 2.0. by Owen M. O’Connor (11965460)

    Published 2022
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  17. 117
    Resistant and susceptible strains of <i>E</i>. <i>coli</i> on agarose pads containing an inhibitory concentration of tetracycline.

    Resistant and susceptible strains of <i>E</i>. <i>coli</i> on agarose pads containing an inhibitory concentration of tetracycline. by Owen M. O’Connor (11965460)

    Published 2022
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  18. 118
    Time-lapse movie of a bacterial microcolony analyzed with DeLTA 2.0.

    Time-lapse movie of a bacterial microcolony analyzed with DeLTA 2.0. by Owen M. O’Connor (11965460)

    Published 2022
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  19. 119
    Loss history of segmentation model trained over 600 epochs.

    Loss history of segmentation model trained over 600 epochs. by Owen M. O’Connor (11965460)

    Published 2022
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  20. 120
    Schematic of the pixelwise binary cross-entropy loss function used to train the segmentation and tracking models.

    Schematic of the pixelwise binary cross-entropy loss function used to train the segmentation and tracking models. by Owen M. O’Connor (11965460)

    Published 2022
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