Výsledky vyhledávání - (( (statenet OR stavebna) python code analysis ) OR ( state python code analysis ))*

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

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

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

Autoři: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian a další

Témata: FOS: Computer and information sciences, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Programming Languages (cs.PL)

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

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

Autoři: V.V. Samarov

Zdroj: Надежность и качество сложных систем, Iss 2 (2023)

Témata: 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 souboru: electronic resource

Relation: https://doaj.org/toc/2307-4205

Přístupová URL adresa: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

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

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

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.

Autoři: Özbey, Mehmet Furkan Turhan, Cihan

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

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

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

Autoři: A S Tavleev G V Lipunova K L Malanchev

Zdroj: Monthly Notices of the Royal Astronomical Society. 524:3647-3661

Témata: High Energy Astrophysical Phenomena (astro-ph.HE), 0103 physical sciences, FOS: Physical sciences, Astrophysics - High Energy Astrophysical Phenomena, 01 natural sciences

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

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

MoveApps: a serverless no-code analysis platform for animal tracking data.

Autoři: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik a další

Zdroj: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

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

LMs: Understanding Code Syntax and Semantics for Code Analysis

Autoři: Ma, Wei Liu, Shangqing Lin, Zhihao a další

Témata: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

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

Data analysis and visualization of electric vehicle engineering

Autoři: null Aditya Gaurav Gupta null Aryan Gaurav Gupta null Michelle Tashi Wongmu Bhutia

Zdroj: World Journal of Advanced Research and Reviews. 25:1796-1804

Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data.

Autoři: Tulpan, Dan¹

Zdroj: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Témata: Machine learning, Personal computers, Animal science, Data modeling, Python programming language

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoři: Stewart, Mathew Peters, Carli Ziegler, Michael J. a další

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations.

Autoři: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.

Autoři: Martvel, George Eretová, Petra Přibylová, Lucie a další

Zdroj: BMC Veterinary Research. 5/24/2025, Vol. 21 Issue 1, p1-13. 13p.

Témata: Emotions in animals, Behavioral assessment, Dog behavior, Facial expression, Artificial intelligence, Dogs

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Autoři: DİLAVER, Hatice DİLAVER, Kamil Fatih

Zdroj: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Témata: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoři: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan a další

Zdroj: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Témata: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data.

Autoři: Su, Rongxiang Liu, Yifei Dodge, Somayeh

Zdroj: Movement Ecology. 3/9/2024, Vol. 12 Issue 1, p1-14. 14p.