Výsledky vyhľadávania - (( (stat OR state) python code analysis ) OR ( (statnich OR statni) python code analysis ))

Programming models to support data science workflows

Autori: Ramón-Cortés Vilarrodona, Cristián

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

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

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: 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

Popis súboru: application/pdf

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

Meta-designing quantum experiments with language models.

Autori: Arlt, Sören Duan, Haonan Li, Felix a ďalší

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

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

Autori: Yi Rong Yan Zhou

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

Predmety: 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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

Predmety: COMPUTER SCIENCE, PYTHON, CODE GENERATION, INFORMÁTICA, CRIAÇÃO DE CÓDIGO

Popis súboru: application/pdf

Relation: 1999-5903

Dostupnosť: http://hdl.handle.net/10437/15547

Otimização do processo de fabrico e controlo de qualidade na maquinação

Autori: Oliveira, Tiago Viegas

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

Popis súboru: application/pdf

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

Exploring Methods for Quantifying Expressibility and Entangling Capability of Parameterized Quantum Circuits

Autori: Mjaaseth, Jørgen

Dostupnosť: https://hdl.handle.net/11250/3145867

A Study of Large Language Models in Detecting Python Code Violations

Autori: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Popis súboru: 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

Prístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

A parametric analysis of CLT wall and outrigger structural system in tall timber buildings

Autori: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a ďalší

Prispievatelia: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a ďalší

Dostupnosť: https://hdl.handle.net/11250/3024629

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

Autori: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina a ďalší

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

Predmety: *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

Autori: Rasmus Krebs Somnath Mazumdar

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

AI-Enhanced ABM Development: Facilitating Agent-based Modeling using Artificial Intelligence

Autori: Khatami, Siamak Frantz, Christopher Moses, Jonathon Wayne

Prispievatelia: Khatami, Siamak Frantz, Christopher Moses, Jonathon Wayne

Dostupnosť: https://hdl.handle.net/11250/3184592

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

Autori: Chris J. Vargo

Typ zdroja: eBook.

Predmet: Machine learning

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

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

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Machine learning

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

Deep learning in medical image analysis: Efficient use of data and radiological expertise

Autori: Kaliyugarasan, Sathiesh Kumar

Dostupnosť: https://hdl.handle.net/11250/3090119

Automation of Software Code Analysis Using Machine Learning Methods.

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

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

Multiple scales analysis of slow–fast quasi-linear systems

Autori: Michel, G. Chini, G. P.

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

Prístupová URL adresa: https://www.jstor.org/stable/26645709

MEG and EEG data analysis with MNE-Python

Autori: Gramfort, Alexandre Luessi, Martin Hamalainen, Matti a ďalší

Zdroj: 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.

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

Popis súboru: application/pdf

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

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

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

Autori: Siney, Melissa Salehi, Reza Hassan, Mohamed G. a ďalší

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

Predmety: 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.

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

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

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

Economic Impact of Abortions in Dairy Cow Herds.

Autori: Palma, Osvaldo Plà-Aragonès, Lluís M. Mac Cawley, Alejandro a ďalší

Zdroj: Veterinary Sciences; Jul2025, Vol. 12 Issue 7, p645, 14p

Predmety: ECONOMIC impact, ABORTION, MARKOV processes, PROFITABILITY, MILK yield, DAIRY cattle, ANIMAL health