Tools used in implementing the RNN models. حسب Fahmi H. Quradaa (17896527)

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Analysis of the selected studies in terms of tools used for implementing RNN models. حسب Fahmi H. Quradaa (17896527)

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Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management حسب Pavel Izosimov (20096259)

"…</li><li><b>Source Code Protection</b>: Implement multi-level <b>source code protection</b> with dynamic <b>code obfuscation in Python</b>, making it significantly harder for others to reverse-engineer your code.…"

Python programming code for the stochastic inference of disease interval distributions. حسب Günter Schneckenreither (10099380)

Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool حسب Pavel Izosimov (20096259)

"…</li></ul><p dir="ltr"><b>Application Areas</b></p><p dir="ltr">The <b>Multi-Version PYZ Builder Script</b> can be effectively applied in various areas:</p><ul><li><b>Commercial Distribution</b>: Distribute protected Python code to clients or customers, implementing advanced <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>source code protection</b></a> for sales or rentals.…"

Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing حسب Pavel Izosimov (20096259)

"…</p><h2>Key Features</h2><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Code Obfuscation in Python</b></a>: Implements multi-level protection with dynamic encryption and obfuscation techniques, making it an effective <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python obfuscator</b></a>.…"

Analysis of the selected studies in terms of the code representation used. حسب Fahmi H. Quradaa (17896527)

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Final selected studies and quality assessment scores. حسب Fahmi H. Quradaa (17896527)

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Average of F1-score across years. حسب Fahmi H. Quradaa (17896527)

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Research questions and main motivations. حسب Fahmi H. Quradaa (17896527)

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Analysis of the selected studies in terms of RNN techniques used. حسب Fahmi H. Quradaa (17896527)

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The available dataset created by the selected studies. حسب Fahmi H. Quradaa (17896527)

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Comparison of detection techniques based on RNN applications with BigCloneBench dataset. حسب Fahmi H. Quradaa (17896527)

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Analysis the performance scores of the RNN-based clone detection techniques in detecting of Type-III and Type-IV clones. حسب Fahmi H. Quradaa (17896527)

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Selected studies and addressed research questions. حسب Fahmi H. Quradaa (17896527)

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Distribution of RNN techniques used in the selected studies. حسب Fahmi H. Quradaa (17896527)

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Data extraction template. حسب Fahmi H. Quradaa (17896527)

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Overview of systematic literature review. حسب Fahmi H. Quradaa (17896527)

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Study selection process. حسب Fahmi H. Quradaa (17896527)

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Summary of search process from different digital libraries. حسب Fahmi H. Quradaa (17896527)

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