Suchergebnisse - (( (statneeneei OR statene) python code analysis ) OR ( state 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

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

Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.

Autoren: Crookston, Brian M. Arnold, Caitlin R.

Quelle: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Schlagwörter: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

Static Analysis of Corpus of Source Codes of Python Applications.

Autoren: Kapustin, D. A. Shvyrov, V. V. Shulika, T. I.

Quelle: Programming & Computer Software. Aug2023, Vol. 49 Issue 4, p302-309. 8p.

Schlagwörter: *SOURCE code, *PYTHONS, *PYTHON programming language, *CORPORA, *ROBBERS

Python API Misuse Mining and Classification Based on Hybrid Analysis and Attention Mechanism.

Autoren: He, Xincheng Liu, Xiaojin Xu, Lei

Quelle: International Journal of Software Engineering & Knowledge Engineering. Oct2023, Vol. 33 Issue 10, p1567-1597. 31p.

Schlagwörter: *COMPUTER software development, *APPLICATION program interfaces, PYTHONS, PYTHON programming language, CLASSIFICATION

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.

Autoren: Özbey, Mehmet Furkan Turhan, Cihan

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

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

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

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

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

Quelle: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.

Schlagwörter: *ACCRETION disks, *RADIATION, *COMPACT discs, *ACCRETION (Astrophysics), *SUPERMASSIVE black holes, *EQUATIONS of state, *STELLAR photospheres

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

Embracing Computer Vision for Diagnostic Maxillofacial Imaging -- An Artificial Intelligence Machine Learning (AIML)Pilot Project.

Autoren: Akadiri, Oladimeji Adeniyi Yarhere, Kesiena Seun

Quelle: Nigerian Medical Journal; 2025, Vol. 66 Issue 3, p973-982, 10p

Schlagwörter: ARTIFICIAL intelligence, MACHINE learning, CLINICAL decision making, DIAGNOSIS, COMPUTER vision, JAWS, DIGITAL health, COMPUTER-assisted image analysis (Medicine)

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Autoren: Siney, Melissa Salehi, Reza Hassan, Mohamed G. et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Schlagwörter: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

Use It or Lose It: Facilitating the Use of Interactive Data Apps in Psychological Research Data Sharing.

Autoren: Usée, Franziska Melzig, Christiane A. Ostwald, Dirk

Quelle: Europe's Journal of Psychology; Aug2024, Vol. 20 Issue 3, p202-219, 18p

Schlagwörter: NATURAL language processing, OPEN scholarship, CLINICAL psychology, PSYCHOLOGICAL research, PYTHON programming language

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

Fast robust methods for singular state-space models.

Autoren: Jonker, Jonathan Aravkin, Aleksandr Burke, James V. et al.

Quelle: Automatica. Jul2019, Vol. 105, p399-405. 7p.

Schlagwörter: *STATE-space methods, *TIME series analysis, *KALMAN filtering, *CONSTRAINED optimization, *SOURCE code

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

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Autoren: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

Quelle: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Schlagwörter: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

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

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.