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files implementation » time implementation (Expand Search), pilot implementation (Expand Search), assess implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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141
Flowchart of Random Aggregate Placement Process.
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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142
Splitting Specimen Aggregate Placement Area.
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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143
Specimen for the splitting test.
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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144
Example Diagram.
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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145
Aggregate Measurement Image in IPP.
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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146
Internal changes of the specimen of 0.82 to 0.84.
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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147
Internal changes of the specimen of 0.86 to 0.88.
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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148
Internal changes of the specimen of 0.7 to 0.75.
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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149
Internal changes of the specimen of 0.87 to 0.9.
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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150
Internal changes of the specimen of 0.74 to 0.76.
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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151
Internal changes of the specimen 1.55 to 1.60.
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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152
Internal changes of the specimen of 1.70 to 1.75.
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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153
Internal changes of the specimen of 0.89 to 1.
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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154
<b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b>
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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155
Single Cell DNA methylation data for Human Brain altas (MajorType+Region CG allc files)
Published 2025“…</p><p dir="ltr">PMID: 37824674</p><p><br></p><h2>How to download</h2><p dir="ltr">To quickly download the whole folder, Python package <a href="https://github.com/DingWB/pyfigshare" rel="noreferrer" target="_blank">pyfigshare</a> can be implemented. please refer to pyfigshare documentation: <a href="https://github.com/DingWB/pyfigshare" rel="noreferrer" target="_blank">https://github.com/DingWB/pyfigshare</a></p><p dir="ltr">for example: <code>figshare download 28424780 -o downlnoaded_data</code></p>…”
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156
Number of tweets collected over time.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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157
Descriptive measures of the dataset.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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158
Corpora from the articles in order of size.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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159
Media information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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160
Information from interactions.
Published 2025“…Python algorithms were developed to model each primary collection type. …”