يعرض 1 - 10 نتائج من 10 نتيجة بحث عن '(( binary ms based optimization algorithm ) OR ( binary mask model optimization algorithm ))*', وقت الاستعلام: 0.48s تنقيح النتائج
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    A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

    منشور في 2025
    "…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …"
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    Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

    منشور في 2024
    "…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …"
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    Sample image for illustration. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
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    Comparison analysis of computation time. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
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    Process flow diagram of CBFD. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
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    Precision recall curve. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
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    Quadratic polynomial in 2D image plane. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
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    Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) حسب Daniel Pérez Palau (11097348)

    منشور في 2024
    "…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …"