Výsledky vyhľadávania - (statee OR (stat OR state)) python code analysis*

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

Autori: Yi Rong Yan Zhou

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

Predmety: 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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Study of Large Language Models in Detecting Python Code Violations

Autori: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Popis súboru: 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

Prístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

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

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

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

Predmety: 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.

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

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

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

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

Autori: Rasmus Krebs Somnath Mazumdar

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

AI-Driven Analysis of Drug Marketing Efficiency: Unveiling FDA Approval to Market Release Dynamics.

Autori: Takefuji Y; Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-Ku, Tokyo, 135-8181, Japan. takefuji@keio.jp.

Zdroj: The AAPS journal [AAPS J] 2025 Feb 20; Vol. 27 (2), pp. 48. Date of Electronic Publication: 2025 Feb 20.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: American Association of Pharmaceutical Scientists Country of Publication: United States NLM ID: 101223209 Publication Model: Electronic Cited Medium: Internet ISSN: 1550-7416 (Electronic) Linking ISSN: 15507416 NLM ISO Abbreviation: AAPS J Subsets: MEDLINE

Výrazy zo slovníka MeSH: United States Food and Drug Administration* , Drug Approval* , Drug Industry*/methods , Drug Industry*/legislation & jurisprudence , Marketing*/methods , Artificial Intelligence*, United States ; Humans ; Time Factors

Programming models to support data science workflows

Autori: Ramón-Cortés Vilarrodona, Cristián

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

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

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: 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

Popis súboru: application/pdf

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

Python code used in the analysis of the publication Lohmann et al. 'State-dependent impact of major volcanic eruptions observed in ice-core records of the last glacial period'

Autori: Lohmann, Johannes

Relation: https://zenodo.org/records/10580771; oai:zenodo.org:10580771; https://doi.org/10.5281/zenodo.10580771

Dostupnosť: https://doi.org/10.5281/zenodo.10580771
https://zenodo.org/records/10580771
https://github.com/johannes-lohmann/climpast_2023

TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA

Autori: V.V. Samarov

Zdroj: Надежность и качество сложных систем, Iss 2 (2023)

Predmety: certification tests of software products, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, code profiling for dynamic analysis, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2307-4205

Prístupová URL adresa: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

State-Space Kinetic Ising Model Code and Data for Neuronal Spiking Analysis

Autori: ISHIHARA, KEN

Predmety: State-Space Kinetic Ising Model, Neuronal Spiking, Nonequilibrium, Spike Train Analysis, Computational Neuroscience

Relation: https://zenodo.org/records/15205014; oai:zenodo.org:15205014; https://doi.org/10.5281/zenodo.15205014

Dostupnosť: https://doi.org/10.5281/zenodo.15205014
https://zenodo.org/records/15205014

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

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

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

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

Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test

Autori: Haque, Mohd Ariful Gupta, Kishor Datta Rahman, Mohammad Ashiqur a ďalší

Predmety: Software Engineering, Cryptography and Security

Relation: http://arxiv.org/abs/2601.03640

Dostupnosť: http://arxiv.org/abs/2601.03640

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

Autori: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina a ďalší

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

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

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

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

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

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

Korporácia: INTERNATIONAL Business Machines Corp.

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)

Autori: Yücel, Doğan Er, Ülkü Aysel, Metin a ďalší

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

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

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

Autori: Dunker, Fabian Mendoza, Emil Reale, Marco

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

Predmety: 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.

Autori: Sherman, Zachary Sharma Dulal, Sandesh Cho, Jin-Hee a ďalší

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

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

Korporácia: OPENAI Inc.

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

Autori: Slotkienė, Asta Poška, Adomas Stefanovič, Pavel a ďalší

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

Predmety: DEEP learning, COMPUTER software security, PYTHON programming language

A Practical Guide to Static and Dynamic Econometric Modelling ; Examples and Analysis with Python Code Embedded

Autori: Maitra, Sarit

Zdroj: Contributions to Economics ; ISSN 1431-1933 2197-7178 ; ISBN 9783031868610 9783031868627

Dostupnosť: https://doi.org/10.1007/978-3-031-86862-7
https://link.springer.com/content/pdf/10.1007/978-3-031-86862-7.pdf
https://link.springer.com/content/pdf/10.1007/978-3-031-86862-7

Evolutionary Insights from Sequence Analysis of Interleukin 17A (IL17A).

Autori: Santos JC; Department of Biological Sciences, College of Liberal Arts and Sciences, St. John's University, Jamaica, Queens, NY, USA. santosj@stjohns.edu.

Zdroj: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2026; Vol. 2983, pp. 397-447.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE

Výrazy zo slovníka MeSH: Evolution, Molecular* , Interleukin-17*/genetics , Sequence Analysis, DNA*/methods , Computational Biology*/methods, Phylogeny ; Humans ; Software ; Sequence Alignment