Výsledky vyhľadávania - (( (stavebne OR statnene) python code analysis ) OR ( state python code analysis ))*

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: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

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

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

Modelling the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Autori: Özbey, Mehmet Furkan Turhan, Cihan

Zdroj: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Predmety: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

Smart Compiler Assistant: An AST based Python Code Analysis

Autori: Aneesh, Ch Saumik, Gembali Varun, Kvv a ďalší

Zdroj: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Dostupnosť: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

Analysis of accretion disc structure and stability using open code for vertical structure.

Autori: Tavleev, A S Lipunova, G V Malanchev, K L

Zdroj: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.

Predmety: *ACCRETION disks, *RADIATION, *COMPACT discs, *ACCRETION (Astrophysics), *SUPERMASSIVE black holes, *EQUATIONS of state, *STELLAR photospheres

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

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

Zdroj: Future Internet, Vol 17, Iss 9, p 412 (2025)

Predmety: large language models, code generation, Python libraries, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1999-5903/17/9/412; https://doaj.org/toc/1999-5903

Prístupová URL adresa: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

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

BatAnalysis - A Comprehensive Python Pipeline for Swift BAT Survey Analysis

Autori: Tyler Parsotan Sibasish Laha David M. Palmer a ďalší

Zdroj: The Astrophysical Journal. 953(2)

Predmety: Space Radiation

Prístupová URL adresa: https://ntrs.nasa.gov/citations/20230009620

Fast robust methods for singular state-space models.

Autori: Jonker, Jonathan Aravkin, Aleksandr Burke, James V. a ďalší

Zdroj: Automatica. Jul2019, Vol. 105, p399-405. 7p.

Predmety: *STATE-space methods, *TIME series analysis, *KALMAN filtering, *CONSTRAINED optimization, *SOURCE code

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Autori: Wright, Sarah N Colton, Scott Schaffer, Leah V a ďalší

Zdroj: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.

Predmety: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks

MLtool Python Code

Autori: Nikolai A Zarkevich Nishan Senanayake Joshua Stuckner a ďalší

Predmety: Computer Programming and Software

Relation: MLtool: Universal Supervised Machine Learning Tool to Model Tabulated Data

Prístupová URL adresa: https://ntrs.nasa.gov/citations/20230005458

PLangRec: Deep-learning model to predict the programming language from a single line of code.

Autori: Rodriguez-Prieto, Oscar Pato, Alejandro Ortin, Francisco

Zdroj: Future Generation Computer Systems. May2025, Vol. 166, pN.PAG-N.PAG. 1p.

Predmety: *NATURAL language processing, *PROGRAMMING languages, DEEP learning, WEB-based user interfaces, SOURCE code

Risk Model for Metastasis Detection of Neuroblastoma (NB)

Autori: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Prispievatelia: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Zdroj: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

Rapid Development of Interferometric Software Using MIRIAD and Python

Autori: Williams, Peter K. G. Law, Casey J. Bower, Geoffrey C.

Zdroj: Publications of the Astronomical Society of the Pacific, 2012 . 124(916), 624-636.

Prístupová URL adresa: https://www.jstor.org/stable/10.1086/666604

How to select reference sites for long-term agricultural experiments: A data-driven approach

Autori: Nishita Thakur Marco Donat Sonoko Bellingrath-Kimura a ďalší

Zdroj: Smart Agricultural Technology, Vol 12, Iss , Pp 101357- (2025)

Predmety: Experimental design, Land use change, Spatial data analysis, K-means clustering, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S277237552500588X; https://doaj.org/toc/2772-3755

Prístupová URL adresa: https://doaj.org/article/4ab6baf947274359bdd6032f8ce9ff01

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Autori: Ruta, Michael R Gaidici, Tony Irwin, Chase a ďalší

Zdroj: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Predmety: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Korporácia: OpenAI Inc.

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Autori: Álvarez-Fidalgo, David Ortin, Francisco

Zdroj: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Predmety: *Transformer models, Language models, Source code, Dispute resolution, Python programming language

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

Autori: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University a ďalší

Prispievatelia: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University a ďalší

Zdroj: Effectiveness of Pharmacologic, Surgical, and Dietetic Weight Loss Methods on Lifespan in Patients With Metabolic Syndrome: a Comparative Clinical Trial