Výsledky vyhľadávania - (( (statny OR state) python code analysis ) OR ( (statnet OR statnit) python code analysis ))~

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

Zdroj: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Predmety: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

Numerical Analyses of a SAW Gas Sensor in a Non-Steady State

Autori: T. Hejczyk J. Wrotniak P. Powroźnik a ďalší

Zdroj: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 4 (2025)

Predmety: gas sensors, numerical modeling, ingebrigtsen’s formula, dmmp, (rr)-p3ht, acoustoelectric analysis (naa), Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

Popis súboru: 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

Prístupová URL adresa: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

Smart Compiler Assistant: An AST based Python Code Analysis

Autori: Aneesh, Ch Saumik, Gembali Varun, Kvv a ďalší

Zdroj: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Dostupnosť: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

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

Percolation Theory Using Python

Autori: Malthe-Sørenssen, Anders

Predmety: 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

Popis súboru: application/pdf

Relation: Lecture Notes in Physics

Prístupová URL adresa: https://library.oapen.org/handle/20.500.12657/92326

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

Autori: Ruta, Michael R Gaidici, Tony Irwin, Chase a ďalší

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

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

Korporácia: OpenAI Inc.

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Autori: Wright, Sarah N Colton, Scott Schaffer, Leah V a ďalší

Zdroj: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.

Predmety: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks

Travel times and distances to health services in Australia

Autori: Michaela Filipcikova Louisa Jorm Sebastiano Barbieri

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

Predmety: Science

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/3f04c331bd41458c8c42e566f2961448

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

Autori: Mjaaseth, Jørgen

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

An algorithm for automated extraction of resonance parameters from the stabilization method.

Autori: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. a ďalší

Zdroj: Computer Physics Communications. Nov2025, Vol. 316, pN.PAG-N.PAG. 1p.

Predmety: *RESONANCE, *DENSITY of states, *STATISTICAL accuracy, *EIGENANALYSIS, *PYTHON programming language, *ALGORITHMS, *DATA extraction

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

Autori: Li, Jingmao Xu, Yaqing Ma, Shuangge a ďalší

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

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

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

Autori: Cordier, Chiara Jézéquel, Pascal Campone, Mario a ďalší

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

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

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

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

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

Autori: Álvarez-Fidalgo, David Ortin, Francisco

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

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

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

Quantifying the nuclear localization of fluorescently tagged proteins.

Autori: Hurbain, Julien Wolde, Pieter Rein ten Swain, Peter S

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-8. 8p.

Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial.

Autori: Burns, James Chen, Kelly Flathers, Matthew a ďalší

Zdroj: Journal of Medical Internet Research. 2024, Vol. 26, p1-27. 27p.

Predmety: *Electronic data processing, *Data visualization, *Data quality, Cell phones, Integrated software

NFEmbed: modeling nitrogenase activity via classification and regression with pretrained protein embeddings.

Autori: Nafi, Md Muhaiminul Islam Mohaimin, Abdullah Al

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-17. 17p.