Search Results - (stat OR (staten OR state)) python code analysis*

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

A Study of Large Language Models in Detecting Python Code Violations.

Authors: Mohammed Salih, Hekar A. Sarhan, Qusay I.

Source: ARO: The Scientific Journal of Koya University; 2025, Vol. 13 Issue 2, p215-225, 11p

Subject Terms: LANGUAGE models, QUALITY assurance, COMPUTER software quality control, NATURAL language processing

Quantifying cross-language code reuse via function-level clone detection

Authors: Yi Rong Yan Zhou

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Subject Terms: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Authors: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Subject Terms: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger–Horne–Zeilinger (GHZ) State.

Authors: Jansen, Nathan D. Hunt, Katharine L. C.

Source: Entropy; Sep2025, Vol. 27 Issue 9, p891, 21p

Subject Terms: ENTROPY, QUANTUM entanglement, STATISTICAL accuracy, HAMILTONIAN mechanics, ISING model, QUANTUM computing, QUANTUM computers

Company/Entity: INTERNATIONAL Business Machines Corp.

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

Source: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)

Subject Terms: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science

File Description: electronic resource

Relation: https://aro.koyauniversity.org/index.php/aro/article/view/2395; https://doaj.org/toc/2410-9355; https://doaj.org/toc/2307-549X

Access URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

Yusuf Suresinin Anlam İlişkileri ve Hikâye Birleşenlerinin Pyhton Kodlu Matematiksel Görselleştirmelerle Tahlili. (Turkish)

Alternate Title: Analysis of the Meaning Relations and Story Components of Surah Yusuf Via Python Coded Mathematical Visualizations. (English)

Authors: Yücel, Doğan Er, Ülkü Aysel, Metin et al.

Source: International Journal of Social Sciences (IJSS) / Uluslararası Sosyal Bilimler Dergisi; 2025, Vol. 9 Issue 41, p1-42, 42p

Subject Terms: TIME series analysis, THEMATIC maps, GRAPH theory, PYTHON programming language, QUR'ANIC criticism

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

Source: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Subject Terms: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations.

Authors: Sherman, Zachary Sharma Dulal, Sandesh Cho, Jin-Hee et al.

Source: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p314, 21p

Subject Terms: GEOSPATIAL data, LANGUAGE models, PYTHON programming language, GENERATIVE artificial intelligence, GEODATABASES, CHATGPT, SMART cities

Company/Entity: OPENAI Inc.

Effect of Deep Recurrent Architectures on Code Vulnerability Detection: Performance Evaluation for SQL Injection in Python.

Authors: Slotkienė, Asta Poška, Adomas Stefanovič, Pavel et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3436, 19p

Subject Terms: DEEP learning, COMPUTER software security, PYTHON programming language

Python Programming: Numerical Analysis/Machine Learning Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Subject Terms: PYTHON programming language, NUMERICAL analysis, MACHINE learning

GPU-accelerated on-the-fly nonadiabatic semiclassical dynamics.

Authors: Myers, Christopher A. Miyazaki, Ken Trepl, Thomas et al.

Source: Journal of Chemical Physics; 8/28/2024, Vol. 161 Issue 8, p1-11, 11p

Subject Terms: ELECTRONIC structure, CONDENSED matter, EXCITED states, ACETONITRILE, PYTHON programming language

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Authors: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

Source: International Journal of Electronics & Telecommunications; 2025, Vol. 71 Issue 4, p1-7, 7p

Subject Terms: NUMERICAL analysis, SURFACE acoustic wave sensors, ELECTRIC conductivity, REACTION-diffusion equations, GAS detectors, POLYMERIC membranes, SURFACE interactions

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

Source: Bioinformatics; Sep2025, Vol. 41 Issue 9, p1-9, 9p

Subject Terms: CANCER research, GENOTYPE-environment interaction, DIAGNOSTIC imaging, DEEP learning, EMPIRICAL research, COMPUTER simulation

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Authors: Golestani, Ali M. Gee, Julia M.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Subject Terms: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Empirical Analysis of Python’s Energy Impact: Evidence from Real Measurements.

Authors: Jimenez, Elisa Gordillo, Alberto Calero, Coral et al.

Source: Computer Science & Information Systems; Jun2025, Vol. 22 Issue 3, p693-726, 34p

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Authors: Rasmus Krebs Somnath Mazumdar

Source: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Subject Terms: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Insights and Analysis of Open-source License Violation Risks in LLMs Generated Code.

Authors: Yibo Wang Ying Wang Yue Yu et al.

Source: International Journal of Software & Informatics; 2025, Vol. 15 Issue 2, p145-173, 29p

Subject Terms: OPEN source software, COPYRIGHT infringement, LANGUAGE models, DATA analytics, CODE generators, INTELLECTUAL property infringement, DETECTION algorithms

A Firm's Operational Risk: Data Set and Empirical Evidence.

Authors: Astvansh, Vivek Simpson, Joseph J.

Source: Manufacturing & Service Operations Management (M&SOM); Jan/Feb2026, Vol. 28 Issue 1, p326-341, 16p

Subject Terms: OPERATIONAL risk, TRANSFORMER models, STAKEHOLDER theory, LEGAL liability, FINANCIAL disclosure, EMPIRICAL research, NUMERICAL analysis

Geographic Terms: UNITED States