Suchergebnisse - (( (stateeeeeeeeeeeene OR statet) 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

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

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

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

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

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

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

Firma/Körperschaft: OpenAI Inc.

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Autoren: Álvarez-Fidalgo, David Ortin, Francisco

Quelle: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Schlagwörter: *Transformer models, Language models, Source code, Dispute resolution, Python programming language

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

User guide for Social Determinants of Health Survey data in the All of Us Research Program.

Autoren: Koleck, Theresa A Dreisbach, Caitlin Zhang, Chen et al.

Quelle: Journal of the American Medical Informatics Association. Dec2024, Vol. 31 Issue 12, p3032-3041. 10p.

Schlagwörter: Social determinants of health, Health equity, Research personnel, Sociometry, Source code

A Firm's Operational Risk: Data Set and Empirical Evidence.

Autoren: Astvansh, Vivek Simpson, Joseph J.

Quelle: Manufacturing & Service Operations Management (M&SOM). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Schlagwörter: *OPERATIONAL risk, *TRANSFORMER models, *STAKEHOLDER theory, *LEGAL liability, *FINANCIAL disclosure, *EMPIRICAL research, NUMERICAL analysis

Geografische Kategorien: UNITED States

All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block.

Autoren: LaPolla, Fred Willie Zametkin Grossi, Marco Barber Chen, Sharon et al.

Quelle: Journal of the American Medical Informatics Association. Dec2024, Vol. 31 Issue 12, p3008-3012. 5p.

Schlagwörter: Secondary analysis, Graduate medical education, Research personnel, Residents (Medicine), Research questions

Risk Model for Metastasis Detection of Neuroblastoma (NB)

Autoren: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Weitere Verfasser: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Quelle: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

Rapid Development of Interferometric Software Using MIRIAD and Python

Autoren: Williams, Peter K. G. Law, Casey J. Bower, Geoffrey C.

Quelle: Publications of the Astronomical Society of the Pacific, 2012 . 124(916), 624-636.

Zugangs-URL: https://www.jstor.org/stable/10.1086/666604

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

Autoren: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

Weitere Verfasser: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

Quelle: Effectiveness of Pharmacologic, Surgical, and Dietetic Weight Loss Methods on Lifespan in Patients With Metabolic Syndrome: a Comparative Clinical Trial

Processing Government Data: ZIP Codes, Python, and OpenRefine.

Autoren: Donnelly, Frank¹ francis.donnelly@baruch.cuny.edu

Quelle: Code4Lib Journal. 7/21/2014, Issue 25, p10-10. 1p. 2 Color Photographs.

Schlagwörter: *Data analysis, *Librarians, Zip codes, Python programming language, Electronic spreadsheets

ORCmKit: an open-source library for organic Rankine cycle modelling and analysis

Autoren: Dickes, Rémi Ziviani, Davide van den Broek, Martjin et al.

Weitere Verfasser: Dickes, Rémi Ziviani, Davide van den Broek, Martjin et al.

Quelle: Proceedings of ECOS 2016 (2016-06-20); ECOS 2016 - 29th international conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems, Portoroz, Slovenia [SI], du 19 juin 2016 au 23 juiin 2016

Schlagwörter: ORC, ORCmKit, Modelling, EES, Matlab, Python, simulation, off-design, sizing, Engineering, computing & technology, Energy, Ingénierie, informatique & technologie, Energie

Zugangs-URL: https://orbi.uliege.be/handle/2268/198722

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Autoren: Cordier, Chiara Jézéquel, Pascal Campone, Mario et al.

Quelle: Bioinformatics. Jun2025, Vol. 41 Issue 6, p1-13. 13p.

Schlagwörter: *PREDICTION algorithms, *TRANSCRIPTOMES, *DEGREES of freedom, *INDIVIDUALIZED medicine, *MACHINE learning

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Autoren: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

Quelle: Bioinformatics. Sep2025, Vol. 41 Issue 9, p1-9. 9p.

Schlagwörter: *CANCER research, *GENOTYPE-environment interaction, *DIAGNOSTIC imaging, *DEEP learning, *EMPIRICAL research, *COMPUTER simulation