بدائل البحث:
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
python model » python tool (توسيع البحث), action model (توسيع البحث), motion model (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
python model » python tool (توسيع البحث), action model (توسيع البحث), motion model (توسيع البحث)
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101
Specimen for the splitting test.
منشور في 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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102
Example Diagram.
منشور في 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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103
Aggregate Measurement Image in IPP.
منشور في 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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104
Internal changes of the specimen of 0.82 to 0.84.
منشور في 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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105
Internal changes of the specimen of 0.86 to 0.88.
منشور في 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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106
Internal changes of the specimen of 0.7 to 0.75.
منشور في 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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107
Internal changes of the specimen of 0.87 to 0.9.
منشور في 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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108
Internal changes of the specimen of 0.74 to 0.76.
منشور في 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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109
Internal changes of the specimen 1.55 to 1.60.
منشور في 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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110
Internal changes of the specimen of 1.70 to 1.75.
منشور في 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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111
Internal changes of the specimen of 0.89 to 1.
منشور في 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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112
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113
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114
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115
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116
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117
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118
Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout.
منشور في 2025"…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …"
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119
Code and data for reproducing the results in the original paper of DML-Geo
منشور في 2025"…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…"
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120
Number of tweets collected over time.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"