Suchergebnisse - (( (state OR stateeeeeeeeee) python code analysis ) OR ( stateline 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

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

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

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

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

Autoren: Mjaaseth, Jørgen

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

Travel times and distances to health services in Australia

Autoren: Michaela Filipcikova Louisa Jorm Sebastiano Barbieri

Quelle: Scientific Data, Vol 13, Iss 1, Pp 1-6 (2025)

Schlagwörter: Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2052-4463

Zugangs-URL: https://doaj.org/article/3f04c331bd41458c8c42e566f2961448

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

The AI revolution : demystifying machine learning and neural networks v.3.14

Autoren: Bengtsson, Magnus, Docent

Schlagwörter: Resource Recovery, Resursåtervinning

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-34324

Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images

Autoren: Marini, Niccolo Otalora, Sebastian Podareanu, Damian et al.

Quelle: Frontiers in Computer Science. 3

Schlagwörter: multi-scale approaches, computational pathology, scale detection, classification, segmentation, deep learning

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-209564
https://liu.diva-portal.org/smash/get/diva2:1913229/FULLTEXT01.pdf

BiGSM: Bayesian inference of gene regulatory network via sparse modelling

Autoren: Qin, Hang Garbulowski, Mateusz Sonnhammer, Erik L. L. et al.

Quelle: Bioinformatics. 41(6)

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-367876
https://doi.org/10.1093/bioinformatics/btaf318

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

Cell-ACDC: a user-friendly toolset embedding state-of-the-art neural networks for segmentation, tracking and cell cycle annotations of live-cell imaging data

Autoren: Padovani, F Mairhörmann, B Falter-Braun, P et al.

Quelle: bioRxiv.

Zugangs-URL: http://kipublications.ki.se/Default.aspx?queryparsed=id:

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

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

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

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

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning

Autoren: Puccioni, L Farshin, A Scazzariello, Mariano et al.

Quelle: Proc. - IEEE/ACM Int. Workshop Large Lang. Model. Code, LLM4Code. :185-192

Schlagwörter: code, Large Language Models, LLMs, pruning, Ada (programming language), Calibration, Computational linguistics, Computer software, Domain specific, Language model, Large language model, Performance, Resource-efficient, Submodels, Codes (symbols)

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-79264

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