بدائل البحث:
based implementation » assess implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
python based » method based (توسيع البحث), person based (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
based implementation » assess implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
python based » method based (توسيع البحث), person based (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
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121
CSMILES: A Compact, Human-Readable SMILES Extension for Conformations
منشور في 2025"…A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …"
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122
Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx
منشور في 2025"…Its efficiency and scalability make it well-suited for early-stage antibody discovery, repertoire profiling, and therapeutic design, particularly in the absence of structural data. The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…"
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123
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…<h2>A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation</h2><p><br></p><p dir="ltr">This is the implementation for the paper "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation".…"
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124
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…<h2>A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation</h2><p><br></p><p dir="ltr">This is the implementation for the paper "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation".…"
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125
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126
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127
Number of tweets collected over time.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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128
Descriptive measures of the dataset.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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129
Corpora from the articles in order of size.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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130
Media information.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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131
Information from interactions.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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132
Table of the database statistical measures.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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133
Tweets information.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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134
Examples of tweets texts (Portuguese).
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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135
Methodological flowchart.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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136
Number of tweets collected per query and type.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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137
Examples of tweets texts (English).
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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138
Users information.
منشور في 2025"…Python algorithms were developed to model each primary collection type. …"
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139
The Improved Hydro-Sediment Numerical Model and Machine Learning Models
منشور في 2025"…The hydro-sediment model was implemented in the C# programming language using Visual Studio, while the machine learning models were developed in Python.…"
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140
Methodological Approach Based on Structural Parameters, Vibrational Frequencies, and MMFF94 Bond Charge Increments for Platinum-Based Compounds
منشور في 2025"…The developed bci optimization tool, based on MMFF94, was implemented using a Python code made available at https://github.com/molmodcs/bci_solver. …"