Výsledky vyhledávání - (( (stavba OR state) python code analysis ) OR ( (statnet OR stateeeeeene) python code analysis ))*

Smart Compiler Assistant: An AST based Python Code Analysis

Autoři: Aneesh, Ch Saumik, Gembali Varun, Kvv a další

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

Dostupnost: 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

Autoři: Ramón-Cortés Vilarrodona, Cristián

Přispěvatelé: 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)

Témata: 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 souboru: application/pdf

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

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

Autoři: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a další

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

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

Percolation Theory Using Python

Autoři: Malthe-Sørenssen, Anders

Témata: 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 souboru: application/pdf

Relation: Lecture Notes in Physics

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

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

Autoři: Ruta, Michael R Gaidici, Tony Irwin, Chase a další

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

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

Korporace: OpenAI Inc.

Otimização do processo de fabrico e controlo de qualidade na maquinação

Autoři: Oliveira, Tiago Viegas

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

Popis souboru: application/pdf

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

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

Autoři: Wright, Sarah N Colton, Scott Schaffer, Leah V a další

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

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

P24-01 Assessment of the pesticide application rate impact on the oncological morbidity of the Ukrainian population.

Autoři: Antonenko, A. Borysenko, A. Kondratiuk, M. a další

Zdroj: Toxicology Letters. 2025 Supplement, Vol. 411, pS300-S300. 1p.

Témata: *PESTICIDES, *EPIDEMIOLOGY of cancer, *AGRICULTURAL laborers, *PLANT protection, *UKRAINIANS, *STATISTICS

Geografický termín: UKRAINE, KYIV (Ukraine)

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

Autoři: Mjaaseth, Jørgen

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

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

Autoři: Li, Jingmao Xu, Yaqing Ma, Shuangge a další

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

Témata: *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.

Autoři: Cordier, Chiara Jézéquel, Pascal Campone, Mario a další

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

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

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

Autoři: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. a další

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

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

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Autoři: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge a další

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-11. 11p.

Témata: *ESCHERICHIA coli, *METABOLIC models, *CHEMICAL kinetics, *METABOLIC flux analysis, *MATHEMATICAL programming

Multiple scales analysis of slow–fast quasi-linear systems

Autoři: Michel, G. Chini, G. P.

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

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

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

Autoři: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a další

Přispěvatelé: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a další

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

Quantifying the nuclear localization of fluorescently tagged proteins.

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

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

Témata: *CONVOLUTIONAL neural networks, *MACHINE learning, *CELLULAR signal transduction, *IMAGE processing, *FLUORESCENT proteins, *CELL analysis

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

Autoři: Álvarez-Fidalgo, David Ortin, Francisco

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

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

MEG and EEG data analysis with MNE-Python

Autoři: Gramfort, Alexandre Luessi, Martin Hamalainen, Matti a další

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.

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

Popis souboru: application/pdf

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

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

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

Autoři: Yi Rong Yan Zhou

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

Témata: 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 souboru: electronic resource

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

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

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

Autoři: Nafi, Md Muhaiminul Islam Mohaimin, Abdullah Al

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

Témata: *NITROGENASES, *MACHINE learning, *CROP yields, *MICROBIOLOGY, *ENSEMBLE learning, *GENOMICS, *BIOFERTILIZERS