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

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

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

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

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

Autori: Jimenez, Elisa Gordillo, Alberto Calero, Coral a ďalší

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

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

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

Autori: Astvansh, Vivek Simpson, Joseph J.

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

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

Geografický termín: UNITED States

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

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.

Distinguishing LLM-Generated from Human-Written Code by Contrastive Learning.

Autori: Xu, Xiaodan Ni, Chao Guo, Xinrong a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-31, 31p

Predmety: CHATGPT, LANGUAGE models, CODE generators, MACHINE learning

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

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

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

Python Programming: Numerical Analysis/Machine Learning Series.

Autori: Doskas, Constantinos

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

Predmety: PYTHON programming language, NUMERICAL analysis, MACHINE learning

Programmed differently? Testing for gender differences in Python programming style and quality on GitHub.

Autori: Brooke, Siân

Zdroj: Journal of Computer-Mediated Communication; Jan2024, Vol. 29 Issue 1, p1-13, 13p

Predmety: PYTHON programming language, PYTHONS, RANDOM forest algorithms, GENDER

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

Autori: Myers, Christopher A. Miyazaki, Ken Trepl, Thomas a ďalší

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

Predmety: 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.

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

Development of a Sustainable Universal Python Code for Accurate 2D Heat Transfer Conduction Simulations in Educational Environment.

Autori: Kok, Chiang Liang Ho, Chee Kit Taufik, Abbas Syihan Bin Muhammad a ďalší

Zdroj: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p7159, 31p

Predmety: HEAT conduction, HEAT transfer, SIMULATION software, EDUCATIONAL objectives, SCHOOL environment, PYTHON programming language

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

Autori: Li, Jingmao Xu, Yaqing Ma, Shuangge a ďalší

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

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