Výsledky vyhľadávania - (( (statnet OR state) python code analysis ) OR ( (statni OR statene) python code analysis ))*

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

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.

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

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

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

Popis súboru: application/pdf

Relation: 1999-5903

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

Otimização do processo de fabrico e controlo de qualidade na maquinação

Autori: Oliveira, Tiago Viegas

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

Popis súboru: application/pdf

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

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

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 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

A Study of Large Language Models in Detecting Python Code Violations

Autori: Hekar A. Mohammed Salih Qusay I. Sarhan

Zdroj: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)

Predmety: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science

Popis súboru: 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

Prístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Autori: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina a ďalší

Zdroj: International Journal of Electronics & Telecommunications. 2025, Vol. 71 Issue 4, p1-7. 7p.

Predmety: *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.

Autori: Crookston, Brian M. Arnold, Caitlin R.

Zdroj: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Predmety: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Autori: Rasmus Krebs Somnath Mazumdar

Zdroj: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Predmety: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Autori: Siney, Melissa Salehi, Reza Hassan, Mohamed G. a ďalší

Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Predmety: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

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

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

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

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

Risk Model for Metastasis Detection of Neuroblastoma (NB)

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

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

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

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Autori: Chris J. Vargo

Typ zdroja: eBook.

Predmet: Machine learning

Kategórie: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

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.

Autori: Özbey, Mehmet Furkan Turhan, Cihan

Zdroj: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Predmety: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

Autori: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University a ďalší

Prispievatelia: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University a ďalší

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