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Showing 101 - 120 results of 264 for search '(( python model implementation ) OR ( ((python time) OR (python files)) implementation ))', query time: 0.27s Refine Results
  1. 101
    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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  2. 102
    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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  3. 103
    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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  4. 104
    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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  5. 105
    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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  6. 106
    Specimen for the splitting test.

    Specimen for the splitting 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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  7. 107
    Example Diagram.

    Example 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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  8. 108
    Aggregate Measurement Image in IPP.

    Aggregate Measurement Image in IPP. 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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  9. 109
    Internal changes of the specimen of 0.82 to 0.84.

    Internal changes of the specimen of 0.82 to 0.84. 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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  10. 110
    Internal changes of the specimen of 0.86 to 0.88.

    Internal changes of the specimen of 0.86 to 0.88. 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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  11. 111
    Internal changes of the specimen of 0.7 to 0.75.

    Internal changes of the specimen of 0.7 to 0.75. 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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  12. 112
    Internal changes of the specimen of 0.87 to 0.9.

    Internal changes of the specimen of 0.87 to 0.9. 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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  13. 113
    Internal changes of the specimen of 0.74 to 0.76.

    Internal changes of the specimen of 0.74 to 0.76. 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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  14. 114
    Internal changes of the specimen 1.55 to 1.60.

    Internal changes of the specimen 1.55 to 1.60. 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. 115
    Internal changes of the specimen of 1.70 to 1.75.

    Internal changes of the specimen of 1.70 to 1.75. 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. 116
    Internal changes of the specimen of 0.89 to 1.

    Internal changes of the specimen of 0.89 to 1. 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. 117
    MCCN Case Study 3 - Select optimal survey locality

    MCCN Case Study 3 - Select optimal survey locality by Donald Hobern (21435904)

    Published 2025
    “…</p><p dir="ltr">This is a simple implementation that uses four environmental attributes imported for all Australia (or a subset like NSW) at a moderate grid scale:</p><ol><li>Digital soil maps for key soil properties over New South Wales, version 2.0 - SEED - see <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html" target="_blank">https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html</a></li><li>ANUCLIM Annual Mean Rainfall raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer</a></li><li>ANUCLIM Annual Mean Temperature raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer</a></li></ol><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate</b></li><li>Installing mccn-engine will install other dependencies</li></ul><h4><b>Overview</b></h4><ol><li>Generate STAC metadata for layers from predefined configuratiion</li><li>Load data cube and exclude nodata values</li><li>Scale all variables to a 0.0-1.0 range</li><li>Select four layers for comparison (soil organic carbon 0-30 cm, soil pH 0-30 cm, mean annual rainfall, mean annual temperature)</li><li>Select 10 random points within NSW</li><li>Generate 10 new layers representing standardised environmental distance between one of the selected points and all other points in NSW</li><li>For every point in NSW, find the lowest environmental distance to any of the selected points</li><li>Select the point in NSW that has the highest value for the lowest environmental distance to any selected point - this is the most different point</li><li>Clean up and save results to RO-Crate</li></ol><p><br></p>…”
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  18. 118
    Reaction Alignment of the Tricarboxylic Acid (TCA) Cycle Network.

    Reaction Alignment of the Tricarboxylic Acid (TCA) Cycle Network. by Adel Heydarabadipour (22290905)

    Published 2025
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  19. 119
    Descriptive measures of the dataset.

    Descriptive measures of the dataset. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
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  20. 120
    Corpora from the articles in order of size.

    Corpora from the articles in order of size. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
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