Výsledky vyhľadávania - (( (aastateni OR state) python code analysis ) OR ( statneeeeeeeeeeeioned python code analysis ))

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Autori: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian a ďalší

Témy: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108

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

Meta-designing quantum experiments with language models.

Autori: Arlt, Sören Duan, Haonan Li, Felix a ďalší

Zdroj: Nature Machine Intelligence; Feb2026, Vol. 8 Issue 2, p148-157, 10p

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

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis

Autori: Henna-Maarit Kyröläinen Iiris Mustonen Juho Enäkoski a ďalší

Zdroj: iScience, Vol 29, Iss 3, Pp 115018- (2026)

Predmety: virology, Science

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004226003937; https://doaj.org/toc/2589-0042

Prístupová URL adresa: https://doaj.org/article/66ab127160aa4b968be933c3101d8f30

Measurement and Development for Automated Secure Coding Solutions

Autori: Frantz, Miles Eugene

Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian

Predmety: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark

Popis súboru: ETD; application/pdf

Dostupnosť: https://hdl.handle.net/10919/121100

Automation of Software Code Analysis Using Machine Learning Methods.

Autori: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Zdroj: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

LMs: Understanding Code Syntax and Semantics for Code Analysis

Autori: Ma, Wei Liu, Shangqing Lin, Zhihao a ďalší

Témy: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2305.12138

Python code analysis and figures - intensity zones

Autori: Fredrik Mentzoni

Predmety: Sports science and exercise not elsewhere classified, sports scienes

Dostupnosť: https://doi.org/10.6084/m9.figshare.28562558.v1
https://figshare.com/articles/software/Python_code_analysis_and_figures_-_intensity_zones/28562558

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

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

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

Témy: Astrophysics - High Energy Astrophysical Phenomena, text

URL: http://arxiv.org/abs/2303.02184

Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.

Autori: Crookston, Brian M. Arnold, Caitlin R.

Zdroj: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Predmety: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

Python API Misuse Mining and Classification Based on Hybrid Analysis and Attention Mechanism.

Autori: He, Xincheng Liu, Xiaojin Xu, Lei

Zdroj: International Journal of Software Engineering & Knowledge Engineering. Oct2023, Vol. 33 Issue 10, p1567-1597. 31p.

Predmety: *COMPUTER software development, *APPLICATION program interfaces, PYTHONS, PYTHON programming language, CLASSIFICATION

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

Assessing Pilot Aeromedical Risk Analysis Using Healthcare Data [Structured Query Language (SQL) and Python Code]

Autori: United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine Slater, David Slater, Zoryanna [Zory] a ďalší

Témy: Safety management, Certification, Aviation medicine, Aviation safety, Risk management, Coding systems, Data files, Analytic Code

URL: https://doi.org/10.21949/1529627
https://rosap.ntl.bts.gov/view/dot/72389

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

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

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Autori: Siney, Melissa Salehi, Reza Hassan, Mohamed G. a ďalší

Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Predmety: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Machine learning

Kategórie: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Embracing Computer Vision for Diagnostic Maxillofacial Imaging -- An Artificial Intelligence Machine Learning (AIML)Pilot Project.

Autori: Akadiri, Oladimeji Adeniyi Yarhere, Kesiena Seun

Zdroj: Nigerian Medical Journal; 2025, Vol. 66 Issue 3, p973-982, 10p

Predmety: ARTIFICIAL intelligence, MACHINE learning, CLINICAL decision making, DIAGNOSIS, COMPUTER vision, JAWS, DIGITAL health, COMPUTER-assisted image analysis (Medicine)