Suchergebnisse - (( (state OR stat) python code analysis ) OR ( (stavebnet OR stateeeed) python code analysis ))*

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis

Autoren: Henna-Maarit Kyröläinen Iiris Mustonen Juho Enäkoski et al.

Quelle: iScience, Vol 29, Iss 3, Pp 115018- (2026)

Schlagwörter: virology, Science

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004226003937; https://doaj.org/toc/2589-0042

Zugangs-URL: https://doaj.org/article/66ab127160aa4b968be933c3101d8f30

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

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

Automation of Software Code Analysis Using Machine Learning Methods.

Autoren: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Quelle: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Autoren: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Begriffe: Programming Languages, Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108

Assessing Pilot Aeromedical Risk Analysis Using Healthcare Data [Structured Query Language (SQL) and Python Code]

Quelle: 693KA8-22-C-00001

Schlagworte: United States

Index Begriffe: Safety management, Certification, Aviation medicine, Aviation safety, Risk management, Coding systems, Data files, Analytic Code

URL: https://rosap.ntl.bts.gov/view/dot/72389

Meta-designing quantum experiments with language models.

Autoren: Arlt, Sören Duan, Haonan Li, Felix et al.

Quelle: Nature Machine Intelligence; Feb2026, Vol. 8 Issue 2, p148-157, 10p

Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test

Autoren: Haque, Mohd Ariful Gupta, Kishor Datta Rahman, Mohammad Ashiqur et al.

Index Begriffe: Software Engineering, Cryptography and Security, text

URL: http://arxiv.org/abs/2601.03640

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

Herzberg–Teller coupling in coherent multidimensional spectroscopy: Analytical response functions for multilevel systems.

Autoren: Troiani, Filippo¹ filippo.troiani@nano.cnr.it

Quelle: Journal of Chemical Physics. 3/28/2026, Vol. 164 Issue 12, p1-20. 20p.

Schlagwörter: *ELECTRONIC systems, *COUPLING agents (Chemistry), *FOURIER analysis, *PYTHON programming language

Firma/Körperschaft: GITHUB Inc.

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

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

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autoren: Tarek A. Atwan

Resource Type: eBook.

Schlagworte: Python (Computer program language), Machine learning

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Development of a Python-based script for the analysis of solar data in Hus 45

Autoren: Kolyvras, Athanasios

Index Begriffe: Other Electrical Engineering, Electronic Engineering, Information Engineering, Annan elektroteknik och elektronik, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-48698

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

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Autoren: Wenting Zhao Ibrahim Abdelaziz Julian Dolby et al.

Quelle: CoRR.

Schlagwörter: FOS: Computer and information sciences, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Programming Languages (cs.PL)

Zugangs-URL: http://arxiv.org/abs/2301.05108

Empirical Auto-Evaluation of Python Code for Performance Analysis of Transformer Network Using T5 Architecture

Autoren: Isha Ganguli Rajat Subhra Bhowmick Shivam Biswas et al.

Quelle: 2021 8th International Conference on Smart Computing and Communications (ICSCC). :75-79

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

What Happened Before the Big Bang? – Quantum Simulation of the Pre-Big Bang Universe via the ψ–Hamzah Equation

Autoren: JALALI, SEYED RASOUL

Schlagwörter: Hamzah Equation, Pre-Big Bang, ψ–Hamzah Model, Intelligent entropy, Absolute time, Consciousness field, Primordial Consciousness, Quantum simulation, Quantum gravity, Pre-cosmic field, Oscillatory entropy, Intelligent oscillations, Negative temperature, Negative Kelvin state, Pre-Bang equilibrium, Collapse of unstable equilibrium, Planck time, Beyond Planck, Fractal derivatives, Fractional calculus, Consciousness as dimension, 12th dimension, Encrypted equation, Irreversible structure, Conscious entropy, Dark energy memory, Quantum fluctuations, Entropy mapping, Power spectrum, Fourier analysis, Spectral entropy, Quantum cosmology, Pre-Planck state, Entropy before Planck, ψ collapse, Conscious origin, Quantum information field, Numerical simulation, Python code, TensorFlow Quantum, Clingo ASP, Dask MPI, FFT entropy spectrum, Inflaton field, Quantum_gravity_effect, Energy_density function, Cosmic_evolution function, solve_ivp integration, Entropy growth, DNA-like spectrum, Consciousness oscillations, Quantum turbulence, Pre-time domain, Intelligent code, Language of creation, Encrypted structure, Consciousness entropy growth, Pre-Bang oscillatory patterns, Entropy inversion, Conscious equilibrium collapse, Collapse to Big Bang, Δt = 2.6 × 10⁻⁴⁴ s, Shorter than Planck, CMB entropy validation, Beyond relativity, Beyond Hawking, Beyond string theory, Beyond M-theory, Consciousness simulation, Ψ AI, Psi-AI, Encrypted AI, Encrypted simulation, Conscious algorithms, Pre-cosmic intelligence, Multiverse extension, Parallel universes, Consciousness rings, Intelligent multiverse, Quantum coherence, Quantum memory, Information field, Conscious topology, Absolute intelligence, Pre-cosmic encryption, Hamzah time, Hamzah vs Planck, Hamzah vs Einstein, Hamzah vs Hawking, Hamzah vs String theory, Hamzah vs M-Theory, Consciousness as physics, Pre-physical order, Intelligent entropy inversion, Collapse to creation, Encrypted cosmology, Conscious oscillatory code, Pre-time simulation, Simulation GUI, Numerical reproducibility, Cosmic entropy graphs, Inflaton oscillations, Quantum fluctuation spectra, Intelligent cosmogenesis, Non-random entropy, Pre-cosmic data, Primordial order, Non-singularity model, Breaking Planck limit, Post-quantum physics, Beyond singularities, Intelligent mathematics, Multi-layer derivatives, Conscious Lagrangian, Quantum informational collapse, Absolute entropy collapse, Human analogy, 12D cosmology, Intelligent cosmology, Conscious order, Intelligent mathematics, Conscious entropy tensor, Pre-physical intelligence, Collapse-driven creation, Post-singularity physics, Encrypted derivatives, Pre-cosmic resonance, Intelligent turbulence, Oscillatory resonance, Entropic instability, Entropic decoherence, Collapse of symmetry, Emergence of spacetime, Creation as instability, Quantum informational entropy, Pre-birth order, Intelligent genesis, Scientific prophecy, Conscious cosmogenesis, Ψ encrypted model, ψ-based cosmology, Conscious-quantum integration, Conscious-physics synthesis, Future civilisational model, Global governance with Hamzah, Predictive economics entropy, Conscious medicine, Ψ-DNA, Conscious genetics, Cosmic engineering, Pre-time analysis, Universal code, Intelligent universe, Conscious field encryption, Absolute oscillations, Consciousness explosion, Information shock, Birth of spacetime, Intelligent oscillatory collapse, Conscious instability, Quantum entropy spectrum, Intelligent equations, Living entropy, Conscious creation machine

A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package.

Autoren: Robin, Yoann Vrac, Mathieu Ribes, Aurélien et al.

Quelle: Geoscientific Model Development. 2026, Vol. 19 Issue 6, p2349-2372. 24p.

Schlagwörter: *BAYESIAN analysis, *CLIMATE extremes, *CLIMATE change, *EXTREME weather, *PYTHON programming language, *MARKOV chain Monte Carlo, *ATMOSPHERIC models

Geografische Kategorien: EUROPE