Suchergebnisse - (( (stateed OR state) python code analysis ) OR ( aastateni python code analysis ))

Quantifying cross-language code reuse via function-level clone detection

Autoren: Yi Rong Yan Zhou

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

Autoren: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Begriffe: 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.

Autoren: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

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

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

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

Autoren: T. Hejczyk J. Wrotniak P. Powroźnik et al.

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

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

Dateibeschreibung: 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

Zugangs-URL: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

Measurement and Development for Automated Secure Coding Solutions

Autoren: Frantz, Miles Eugene

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

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

Dateibeschreibung: ETD; application/pdf

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

LMs: Understanding Code Syntax and Semantics for Code Analysis

Autoren: Ma, Wei Liu, Shangqing Lin, Zhihao et al.

Index Begriffe: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

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

Python code analysis and figures - intensity zones

Autoren: Fredrik Mentzoni

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

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

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

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

Index Begriffe: Astrophysics - High Energy Astrophysical Phenomena, text

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

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

Autoren: United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine Slater, David Slater, Zoryanna [Zory] et al.

Index Begriffe: 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

Smart Compiler Assistant: An AST based Python Code Analysis

Autoren: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

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

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

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

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

Autoren: Tarek A. Atwan

Resource Type: eBook.

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

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

Autoren: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

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

BatAnalysis - A Comprehensive Python Pipeline for Swift BAT Survey Analysis

Autoren: Tyler Parsotan Sibasish Laha David M. Palmer et al.

Quelle: The Astrophysical Journal. 953(2)

Schlagwörter: Space Radiation

Zugangs-URL: https://ntrs.nasa.gov/citations/20230009620

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

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

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

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

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

Autoren: Tulpan, Dan¹

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

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

Advanced Forecasting with Python

Autoren: Joos Korstanje

Resource Type: eBook.

Schlagworte: Python (Computer program language), Machine learning, Time-series analysis--Data processing

Categories: MATHEMATICS / Probability & Statistics / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python

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

Autoren: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

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

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

Autoren: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

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

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

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

Autoren: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu et al.

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