Suchergebnisse - (( (state OR stat) python code analysis ) OR ( (statein OR statnet) python code analysis ))*

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

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

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

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

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

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

Firma/Körperschaft: OpenAI Inc.

Meta-designing quantum experiments with language models.

Autoren: Arlt, Sören Duan, Haonan Li, Felix et al.

Quelle: Nature Machine Intelligence; Feb2026, Vol. 8 Issue 2, p148-157, 10p

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

Otimização do processo de fabrico e controlo de qualidade na maquinação

Autoren: Oliveira, Tiago Viegas

Schlagwörter: Digitalização, Indústria 4.0, Gestão de processos, Controlo produtivo, Metrologia

Dateibeschreibung: application/pdf

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

A Study of Large Language Models in Detecting Python Code Violations

Autoren: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Dateibeschreibung: 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

Zugangs-URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

P24-01 Assessment of the pesticide application rate impact on the oncological morbidity of the Ukrainian population.

Autoren: Antonenko, A. Borysenko, A. Kondratiuk, M. et al.

Quelle: Toxicology Letters. 2025 Supplement, Vol. 411, pS300-S300. 1p.

Schlagwörter: *PESTICIDES, *EPIDEMIOLOGY of cancer, *AGRICULTURAL laborers, *PLANT protection, *UKRAINIANS, *STATISTICS

Geografische Kategorien: UKRAINE, KYIV (Ukraine)

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Autoren: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

Quelle: International Journal of Electronics & Telecommunications. 2025, Vol. 71 Issue 4, p1-7. 7p.

Schlagwörter: *NUMERICAL analysis, *SURFACE acoustic wave sensors, *ELECTRIC conductivity, *REACTION-diffusion equations, *GAS detectors, *POLYMERIC membranes, *SURFACE interactions

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

Autoren: Rasmus Krebs Somnath Mazumdar

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Percolation Theory Using Python

Autoren: Malthe-Sørenssen, Anders

Schlagwörter: 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

Dateibeschreibung: application/pdf

Relation: Lecture Notes in Physics

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/92326

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Autoren: Chris J. Vargo

Resource Type: eBook.

Schlagworte: Machine learning

Categories: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

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

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.

Schlagworte: Python (Computer program language), Machine learning

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

Automation of Software Code Analysis Using Machine Learning Methods.

Autoren: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Quelle: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Multiple scales analysis of slow–fast quasi-linear systems

Autoren: Michel, G. Chini, G. P.

Quelle: Proceedings: Mathematical, Physical and Engineering Sciences, 2019 Mar 01. 475(2223), 1-17.

Zugangs-URL: https://www.jstor.org/stable/26645709

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.

MEG and EEG data analysis with MNE-Python

Autoren: Gramfort, Alexandre Luessi, Martin Hamalainen, Matti et al.

Quelle: Gramfort, A., M. Luessi, E. Larson, D. A. Engemann, D. Strohmeier, C. Brodbeck, R. Goj, et al. 2013. “MEG and EEG data analysis with MNE-Python.” Frontiers in Neuroscience 7 (1): 267. doi:10.3389/fnins.2013.00267. http://dx.doi.org/10.3389/fnins.2013.00267.

Schlagwörter: Methods Article, electroencephalography (EEG), magnetoencephalography (MEG), neuroimaging, software, python, open-source

Dateibeschreibung: application/pdf

Relation: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872725/pdf/; Frontiers in Neuroscience

Zugangs-URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11879699

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

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