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Showing 141 - 160 results of 295 for search '(( ((python model) OR (python code)) implementation ) OR ( python time implementation ))*', query time: 0.50s Refine Results
  1. 141
    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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  2. 142
    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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  3. 143
    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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  4. 144
    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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  5. 145
    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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  6. 146
    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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  7. 147
    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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  8. 148
    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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  9. 149
    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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  10. 150
    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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  11. 151
    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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  12. 152
    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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  13. 153
    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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  14. 154
    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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  15. 155
    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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  16. 156
    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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  17. 157
    <b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b>

    <b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b> by Marly G F Costa (19812192)

    Published 2025
    “…<p dir="ltr"><b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b></p><p dir="ltr">The code was developed in the Google Collaboratory environment, using Python version 3.7.13, with TensorFlow 2.8.2. …”
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  18. 158
    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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  19. 159
    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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  20. 160
    Media information.

    Media information. by Sylvia Iasulaitis (8301189)

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