بدائل البحث:
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), policy implementation (توسيع البحث)
time implementation » _ implementation (توسيع البحث), policy implementation (توسيع البحث), effective implementation (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
python time » python files (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), policy implementation (توسيع البحث)
time implementation » _ implementation (توسيع البحث), policy implementation (توسيع البحث), effective implementation (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
python time » python files (توسيع البحث)
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161
Cathode carbon block material parameters [14].
منشور في 2025"…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …"
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162
Sodium concentration distribution cloud map.
منشور في 2025"…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …"
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163
Sodium binding coefficient R.
منشور في 2025"…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …"
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164
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165
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166
The codes and data for "Lane Extraction from Trajectories at Road Intersections Based on Graph Transformer Network"
منشور في 2024"…</p><h3><b>Model training</b></h3><h4><code>python train_GTN.py</code></h4><p dir="ltr">This step trains the GTN model. …"
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167
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168
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169
Data files accompanying our PLoS One publication
منشور في 2025"…The videos were digitized and the positional data were saved in .xlsx or .csv format, respectively. The python codes contain the numerical implementations of our mathematical models.…"
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170
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171
Probabilistic-QSR-GeoQA
منشور في 2024"…Also we have written Python API for Probcog (ProbCog-API.py) and SparQ reasoners (SparQ-API.py).…"
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172
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …"
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173
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …"
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174
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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175
Accompanying data files (Melbourne, Washington DC, Singapore, and NYC-Manhattan)
منشور في 2025"…</p><p dir="ltr">Each zipped folder consists the following files:</p><ul><li>Graph data - City object nodes (.parquet) and COO format edges (.txt)</li><li>predictions.txt (model predictions from GraphSAGE model)</li><li>final_energy.parquet (Compiled training and validation building energy data)</li></ul><p dir="ltr">The provided files are supplementary to the code repository which provides Python notebooks stepping through the data preprocessing, GNN training, and satellite imagery download processes. …"
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176
Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data
منشور في 2025"…This Zenodo package includes: the full research paper (PDF), a complete Python implementation generating the LMC field and conductivity model, a numerical plot comparing discrete LMC values with the smoothed continuum field, a cover letter and supporting documentation. …"
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177
Comparison of SMC techniques.
منشور في 2025"…A detailed simulation study is conducted on a full hand model, comprising four 4-degree-of-freedom (DOF) fingers and a 3-DOF thumb, implemented in Python. …"
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178
Proposed HOFA-SMC with experimental validation.
منشور في 2025"…A detailed simulation study is conducted on a full hand model, comprising four 4-degree-of-freedom (DOF) fingers and a 3-DOF thumb, implemented in Python. …"
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179
ReaxANA: Analysis of Reactive Dynamics Trajectories for Reaction Network Generation
منشور في 2025"…To address this challenge, we introduce a graph algorithm-based explicit denoising approach that defines user-controlled operations for removing oscillatory reaction patterns, including combination and separation, isomerization, and node contraction. This algorithm is implemented in ReaxANA, a parallel Python package designed to extract reaction mechanisms from both heterogeneous and homogeneous reactive MD trajectories. …"
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180
ReaxANA: Analysis of Reactive Dynamics Trajectories for Reaction Network Generation
منشور في 2025"…To address this challenge, we introduce a graph algorithm-based explicit denoising approach that defines user-controlled operations for removing oscillatory reaction patterns, including combination and separation, isomerization, and node contraction. This algorithm is implemented in ReaxANA, a parallel Python package designed to extract reaction mechanisms from both heterogeneous and homogeneous reactive MD trajectories. …"