Search Results - (( (stateni OR stavebna) python code analysis ) OR ( state python code analysis ))*

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

Authors: Yi Rong Yan Zhou

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

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

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

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

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

Authors: V.V. Samarov

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

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

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

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

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

File Description: 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

Access URL: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

Measurement and Development for Automated Secure Coding Solutions

Authors: Frantz, Miles Eugene

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

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

File Description: ETD; application/pdf

Availability: 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.

Authors: Özbey, Mehmet Furkan Turhan, Cihan

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

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

Smart Compiler Assistant: An AST based Python Code Analysis

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

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

Availability: 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

Authors: Ramón-Cortés Vilarrodona, Cristián

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

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

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: 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

File Description: application/pdf

Access 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

Authors: 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.

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

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

BatAnalysis - A Comprehensive Python Pipeline for Swift BAT Survey Analysis

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

Source: The Astrophysical Journal. 953(2)

Subject Terms: Space Radiation

Access URL: https://ntrs.nasa.gov/citations/20230009620

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

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

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

Subject Terms: *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.

Authors: Tulpan, Dan¹

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

Subjects: 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.

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

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

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

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

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

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

Authors: Martvel, George Eretová, Petra Přibylová, Lucie et al.

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

Subjects: 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.

Authors: DİLAVER, Hatice DİLAVER, Kamil Fatih

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

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

Advanced Structural Analysis : From Theory to Computer Implementation (OpenSees Examples with Python Code Solutions)

Authors: Juan Camilo Molina Villegas

Resource Type: eBook.

Subjects: Structural analysis (Engineering)

Categories: TECHNOLOGY & ENGINEERING / Construction / General

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

Authors: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

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

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

MLtool Python Code

Authors: Nikolai A Zarkevich Nishan Senanayake Joshua Stuckner et al.

Subject Terms: Computer Programming and Software

Relation: MLtool: Universal Supervised Machine Learning Tool to Model Tabulated Data

Access URL: https://ntrs.nasa.gov/citations/20230005458