Suchergebnisse - (( ((stateei OR statni) OR stateeu) python code analysis ) OR ( state python code analysis ))*

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.

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

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

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

Dateibeschreibung: application/pdf

Relation: 1999-5903

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

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

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

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

Autoren: Mjaaseth, Jørgen

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

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

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

Autoren: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris et al.

Weitere Verfasser: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris et al.

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

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

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

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

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

Weitere Verfasser: Khatami, Siamak Frantz, Christopher Moses, Jonathon Wayne

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

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

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

Autoren: Kaliyugarasan, Sathiesh Kumar

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

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

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

Measurement and Development for Automated Secure Coding Solutions

Autoren: Frantz, Miles Eugene

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

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

Dateibeschreibung: ETD; application/pdf

Verfügbarkeit: https://hdl.handle.net/10919/121100

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

Autoren: V.V. Samarov

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

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

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)

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Autoren: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Begriffe: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108