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Showing 1 - 20 results of 44 for search '(( python after implementation ) OR ( python trial implementing ))', query time: 0.31s Refine Results
  1. 1
    Python code for estimating parameters of an ALAAM model.

    Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

    Published 2024
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  2. 2
    PYTHON

    PYTHON by Kan Jia (21666161)

    Published 2025
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  3. 3
    Python sript.

    Python sript. by Kan Jia (6438599)

    Published 2025
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  4. 4
    Overview of the implemented simulation tool and training framework in Diffrax.

    Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

    Published 2025
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  5. 5
    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’), followed by a word frequency count (‘Counter’).

    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... by Enock Niyonkuru (21246879)

    Published 2025
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  6. 6
    Analysis of convergence properties for a collection of SBML models.

    Analysis of convergence properties for a collection of SBML models. by Paul van Lent (16876977)

    Published 2025
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  7. 7
    Jaxkineticmodel allows for hybridizing kinetic models with neural networks.

    Jaxkineticmodel allows for hybridizing kinetic models with neural networks. by Paul van Lent (16876977)

    Published 2025
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  8. 8
    Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing

    Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing by Pavel Izosimov (20096259)

    Published 2024
    “…</p><h2>Key Features</h2><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Code Obfuscation in Python</b></a>: Implements multi-level protection with dynamic encryption and obfuscation techniques, making it an effective <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python obfuscator</b></a>.…”
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  9. 9
    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <i>τ</i>. The burst frequency , the mean burst size and . (B) Refractory model simulation results ( samples). The gene has three states, , and , and can switch from one state to another. Moreover, nascent mRNA is produced only when the gene is in state . The parameters are , , , and <i>τ</i> = 1.

    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

    Published 2025
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  10. 10
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
    “…Then, Plotly was used as a tentative interactive tool to generate information about each point in an external window. <b>(b)</b> After SpatioView: due to PyScript constraints, PCA and t-SNE were implemented as viable dimensionality reduction methods in an HTML-based interface. …”
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  11. 11
    Comparative analysis of WordNet replacement impact on data distribution.

    Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

    Published 2025
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  12. 12
    Tracking module training details.

    Tracking module training details. by Khelina Fedorchuk (19130089)

    Published 2025
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  13. 13
    Segmentation module training details.

    Segmentation module training details. by Khelina Fedorchuk (19130089)

    Published 2025
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  14. 14
    Mesh Division Schematic Diagram.

    Mesh Division Schematic Diagram. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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  15. 15
    Distribution of Splitting Test Loaders.

    Distribution of Splitting Test Loaders. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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  16. 16
    Ultimate Failure Load.

    Ultimate Failure Load. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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  17. 17
    Distribution of loaders in the compressive test.

    Distribution of loaders in the compressive test. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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  18. 18
    Material Parameters.

    Material Parameters. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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  19. 19
    Flowchart of Random Aggregate Placement Process.

    Flowchart of Random Aggregate Placement Process. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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  20. 20
    Splitting Specimen Aggregate Placement Area.

    Splitting Specimen Aggregate Placement Area. by Nan Ru (9594384)

    Published 2025
    “…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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