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

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

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

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

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

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

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Autori: Liu, Hongli Clark, Martyn P. Gharari, Shervan a ďalší

Zdroj: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Predmety: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

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 code analysis and figures - intensity zones

Autori: Fredrik Mentzoni

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

Relation: https://figshare.com/articles/software/Python_code_analysis_and_figures_-_intensity_zones/28562558

Dostupnosť: https://doi.org/10.6084/m9.figshare.28562558.v1

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

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

Luminescence Signal Analysis Using Python

Autori: Vasilis Pagonis

Typ zdroja: eBook.

Predmet: Radiation dosimetry, Mathematical physics, Python (Computer program language), Quantum physics, Optical spectroscopy

Kategórie: SCIENCE / Life Sciences / Biophysics, COMPUTERS / Languages / Python, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Physics / Quantum Theory, SCIENCE / Spectroscopy & Spectrum Analysis, TECHNOLOGY & ENGINEERING / Materials Science / General

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

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

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

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)

Software Design for Python Programmers : Principles and Patterns

Autori: Ronald Mak

Typ zdroja: eBook.

Kategórie: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

Numerical Analyses of a SAW Gas Sensor in a Non-Steady State

Autori: T. Hejczyk J. Wrotniak P. Powroźnik a ďalší

Zdroj: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 4 (2025)

Predmety: gas sensors, numerical modeling, ingebrigtsen’s formula, dmmp, (rr)-p3ht, acoustoelectric analysis (naa), Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

Popis súboru: electronic resource

Relation: https://journals.pan.pl/Content/136909/6-5168-Hejczyk_sk.pdf; https://doaj.org/toc/2081-8491; https://doaj.org/toc/2300-1933

Prístupová URL adresa: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

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