Search Results - (( (statni OR state) python code analysis ) OR ( statnett 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

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

File Description: 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

Access URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

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

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

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

Authors: Rasmus Krebs Somnath Mazumdar

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

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

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

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

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

Percolation Theory Using Python

Authors: Malthe-Sørenssen, Anders

Subject Terms: 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

File Description: application/pdf

Relation: Lecture Notes in Physics

Access URL: https://library.oapen.org/handle/20.500.12657/92326

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

Authors: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

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

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

Company/Entity: OpenAI Inc.

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.

Otimização do processo de fabrico e controlo de qualidade na maquinação

Authors: Oliveira, Tiago Viegas

Subject Terms: Digitalização, Indústria 4.0, Gestão de processos, Controlo produtivo, Metrologia

File Description: application/pdf

Availability: http://hdl.handle.net/10773/45577

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

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

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

TLR2 c.374C>T variant linked to natural resistance against brucellosis in Italian Mediterranean river buffalo.

Authors: Fulgione, Andrea Gentile, Antonio Iovane, Valentina et al.

Source: BMC Veterinary Research. 10/21/2025, Vol. 21 Issue 1, p1-16. 16p.

Subjects: Brucellosis, Toll-like receptors, Immune response, Water buffalo, Natural immunity, Case-control method, Single nucleotide polymorphisms, Genomics

Geographic Terms: Italy, Campania (Italy)

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

Authors: Su, Rongxiang Liu, Yifei Dodge, Somayeh

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

Data-driven discovery of antiviral peptides against PRRSV using multiple machine learning models.

Authors: Yousaf, Wafa Haseeb, Abdul Shen, Yongheng et al.

Source: Frontiers in Veterinary Science. 2025, p1-20. 20p.