بدائل البحث:
tool representing » model representing (توسيع البحث), thus representing (توسيع البحث), plot representing (توسيع البحث)
code implementing » model implementing (توسيع البحث), consider implementing (توسيع البحث), _ implementing (توسيع البحث)
tool representing » model representing (توسيع البحث), thus representing (توسيع البحث), plot representing (توسيع البحث)
code implementing » model implementing (توسيع البحث), consider implementing (توسيع البحث), _ implementing (توسيع البحث)
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81
Evaluation and Statistical Analysis Code for "Multi-Task Learning for Joint Fisheye Compression and Perception for Autonomous Driving"
منشور في 2025"…</li></ul><p dir="ltr">These scripts are implemented in Python using the PyTorch framework and are provided to ensure the reproducibility of the experimental results presented in the manuscript.…"
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82
Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats
منشور في 2024"…<p dir="ltr">This Python code implements a Monte Carlo simulation to evaluate the impact of cognitive biases on penalty shootouts under two formats: ABAB (alternating shots) and ABBA (similar to tennis tiebreak format). …"
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83
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…The <b>innovations</b> and <b>steps</b> in Case 3, including data download, sample generation, and parallel computation optimization, were independently developed and are not dependent on the GeoCube’s code.</p><h2>Requirements</h2><p dir="ltr">The codes use the following dependencies with Python 3.8</p><ul><li>torch==2.0.0</li><li>torch_geometric==2.5.3</li><li>networkx==2.6.3</li><li>pyshp==2.3.1</li><li>tensorrt==8.6.1</li><li>matplotlib==3.7.2</li><li>scipy==1.10.1</li><li>scikit-learn==1.3.0</li><li>geopandas==0.13.2</li></ul><p><br></p>…"
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84
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…The <b>innovations</b> and <b>steps</b> in Case 3, including data download, sample generation, and parallel computation optimization, were independently developed and are not dependent on the GeoCube’s code.</p><h2>Requirements</h2><p dir="ltr">The codes use the following dependencies with Python 3.8</p><ul><li>torch==2.0.0</li><li>torch_geometric==2.5.3</li><li>networkx==2.6.3</li><li>pyshp==2.3.1</li><li>tensorrt==8.6.1</li><li>matplotlib==3.7.2</li><li>scipy==1.10.1</li><li>scikit-learn==1.3.0</li><li>geopandas==0.13.2</li></ul><p><br></p>…"
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85
<b>Code and derived data for</b><b>Training Sample Location Matters: Accuracy Impacts in LULC Classification</b>
منشور في 2025"…</li><li>Python/Kaggle notebooks (<code>.ipynb</code>): reproducibility pipeline for accuracy metrics and statistical analysis.…"
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86
<b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b>
منشور في 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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87
Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b>
منشور في 2025"…Attached is the micro-emotion annotation code based on pytorch, which can be used to annotate the Goemotions dataset by yourself, or predict the emotion classification based on the annotation results. …"
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88
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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89
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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90
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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91
High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch
منشور في 2025"…Despite the availability of numerous library search algorithms, those developed by NIST and implemented in MS Search remain predominant, partly because commercial databases (e.g., NIST, Wiley) are distributed in proprietary formats inaccessible to custom code. …"
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92
Comparison data 7 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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93
Sample data for <i>Neolamprologus multifasciatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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94
Sample data for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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95
Comparison data 3 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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96
Sample data for <i>Telmatochromis temporalis</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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97
Comparison data 4 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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98
Comparison data 1 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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99
Comparison data 2 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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100
Comparison data 5 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"