Výsledky vyhledávání - (( (statni OR state) python code analysis ) OR ( (statee OR statny) python code analysis ))

Programming models to support data science workflows

Autoři: Ramón-Cortés Vilarrodona, Cristián

Přispěvatelé: 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)

Témata: 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 souboru: application/pdf

Přístupová 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

Autoři: Yi Rong Yan Zhou

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

Témata: 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 souboru: electronic resource

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

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

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

Autoři: Ruta, Michael R Gaidici, Tony Irwin, Chase a další

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

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

Korporace: OpenAI Inc.

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

Autoři: T. Hejczyk J. Wrotniak P. Powroźnik a další

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

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

Popis souboru: 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

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

Smart Compiler Assistant: An AST based Python Code Analysis

Autoři: Aneesh, Ch Saumik, Gembali Varun, Kvv a další

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

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

Exploring Methods for Quantifying Expressibility and Entangling Capability of Parameterized Quantum Circuits

Autoři: Mjaaseth, Jørgen

Dostupnost: https://hdl.handle.net/11250/3145867

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

Autoři: Astvansh, Vivek Simpson, Joseph J.

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

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

Geografický termín: UNITED States

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

Autoři: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a další

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

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

DeVAIC: A tool for security assessment of AI-generated code.

Autoři: Cotroneo, Domenico De Luca, Roberta Liguori, Pietro

Zdroj: Information & Software Technology. Jan2025, Vol. 177, pN.PAG-N.PAG. 1p.

Témata: *COMPUTER software development, *ARTIFICIAL intelligence, *SECURITY management, CODE generators, SOURCE code

A Study of Large Language Models in Detecting Python Code Violations

Autoři: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Popis souboru: 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

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

Travel times and distances to health services in Australia

Autoři: Michaela Filipcikova Louisa Jorm Sebastiano Barbieri

Zdroj: Scientific Data, Vol 13, Iss 1, Pp 1-6 (2025)

Témata: Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2052-4463

Přístupová URL adresa: https://doaj.org/article/3f04c331bd41458c8c42e566f2961448

AI-Enhanced ABM Development: Facilitating Agent-based Modeling using Artificial Intelligence

Autoři: Khatami, Siamak Frantz, Christopher Moses, Jonathon Wayne

Přispěvatelé: Khatami, Siamak Frantz, Christopher Moses, Jonathon Wayne

Dostupnost: https://hdl.handle.net/11250/3184592

A parametric analysis of CLT wall and outrigger structural system in tall timber buildings

Autoři: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a další

Přispěvatelé: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a další

Dostupnost: https://hdl.handle.net/11250/3024629

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

Autoři: Rasmus Krebs Somnath Mazumdar

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

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

Popis souboru: electronic resource

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

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

Multiple scales analysis of slow–fast quasi-linear systems

Autoři: Michel, G. Chini, G. P.

Zdroj: Proceedings: Mathematical, Physical and Engineering Sciences, 2019 Mar 01. 475(2223), 1-17.

Přístupová URL adresa: https://www.jstor.org/stable/26645709

Measurement and Development for Automated Secure Coding Solutions

Autoři: Frantz, Miles Eugene

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

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

Popis souboru: ETD; application/pdf

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

Percolation Theory Using Python

Autoři: Malthe-Sørenssen, Anders

Témata: fractal models, critical phenomena in statistical physics, disordered systems, scaling theory, anomalous diffusion, random media textbook, Statistical physics, Condensed matter physics (liquid state and solid state physics), Cybernetics and systems theory, Engineering applications of electronic, magnetic, optical materials, Mathematical physics, Geophysics

Popis souboru: application/pdf

Relation: Lecture Notes in Physics

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/92326

Rapid Development of Interferometric Software Using MIRIAD and Python

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

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

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

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

Autoři: Nuno Fachada Daniel Fernandes Carlos M. Fernandes a další

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

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

Popis souboru: electronic resource

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

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

Deep learning in medical image analysis: Efficient use of data and radiological expertise

Autoři: Kaliyugarasan, Sathiesh Kumar

Dostupnost: https://hdl.handle.net/11250/3090119