Suchergebnisse - (( (statement OR stat) python code analysis ) OR ( (stateeee OR stateeee) python code analysis ))~

Textual Financial Data Repository and Python Code for Machine Learning, AI, and Textual Analyses: Major Sections from 10-K, 10-Q, and Financial Statement Notes

Autoren: Mauricio Codesso Rani Hoitash Udi Hoitash

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: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autoren: Golestani, Ali M. Gee, Julia M.

Quelle: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Schlagwörter: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Autoren: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Quelle: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Schlagwörter: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autoren: Dunker, Fabian Mendoza, Emil Reale, Marco

Quelle: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Schlagwörter: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

What does this Python code do? An exploratory analysis of novice students’ code explanations: An exploratory analysis of novice students’ code explanations

Autoren: Werf, V. van der. Aivaloglou, E. Hermans, F.F.J. et al.

Weitere Verfasser: Werf, V. van der. Aivaloglou, E. Hermans, F.F.J. et al.

Quelle: The 10th Computer Science Education Research Conference. :94-107

Schlagwörter: 4. Education, 05 social sciences, 10. No inequality, 0503 education, 3. Good health

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/1887/3655545

Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations.

Autoren: Sherman, Zachary Sharma Dulal, Sandesh Cho, Jin-Hee et al.

Quelle: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p314, 21p

Schlagwörter: GEOSPATIAL data, LANGUAGE models, PYTHON programming language, GENERATIVE artificial intelligence, GEODATABASES, CHATGPT, SMART cities

Firma/Körperschaft: OPENAI Inc.

Analysis of Concrete Air Voids: Comparing OpenAI-Generated Python Code with MATLAB Scripts and Enhancing 2D Image Processing Using 3D CT Scan Data.

Autoren: Asadi, Iman Shpak, Andrei Jacobsen, Stefan

Quelle: Buildings (2075-5309); Dec2024, Vol. 14 Issue 12, p3712, 27p

Schlagwörter: AIR-entrained concrete, IMAGE reconstruction, FLY ash, CONCRETE mixing, AIR analysis

Leveraging Static Analysis for Feedback-Driven Security Patching in LLM-Generated Code.

Autoren: Alrashedy, Kamel Aljasser, Abdullah Tambwekar, Pradyumna et al.

Quelle: Journal of Cybersecurity & Privacy; Dec2025, Vol. 5 Issue 4, p110, 29p

Schlagwörter: COMPUTER security vulnerabilities, LANGUAGE models, PROGRAM transformation, BENCHMARK problems (Computer science), SOFTWARE maintenance, SOURCE code

Hamzah Certainty Principle. Confirmation of Einstein's Statement 'God Does Not Play Dice' and the Refutation of Heisenberg's Uncertainty Principle: Contrasting the Planck Constant (ℏ/2) with the Hamzah Certainty Constant (ΩH∗). [ΔxΔp ≥ ℏ/2 Heisenberg] → [Hamzah Principle: ΔxΔp = ΩH∗]

Autoren: JALALI, SEYED RASOUL

Schlagwörter: quantum mechanics, Heisenberg uncertainty, Schrödinger equation, Hamzah equation, complex integral, fractal derivative, hidden variable, deterministic physics, classical model, electron hydrogen atom, Bohr radius, reduced Planck constant, electron mass, electron charge, vacuum permittivity, Δx, Δp, uncertainty principle, quantum simulation, numerical example, double-slit experiment, tunneling effect, quantum tunneling, probabilistic interpretation, deterministic interpretation, wavefunction, Born rule, Copenhagen interpretation, path integral, fractal physics, fractal uncertainty, hidden variable χ, atomic orbitals, hydrogen energy levels, quantum probabilities, quantum superposition, quantum states, electron trajectory, quantum dynamics, numerical modeling, graphical simulation, scientific validation, physics comparison, classical uncertainty, exponential decay, s-parameter, fractal dimension, knowledge level, visualisation, plotting, matplotlib, numpy, Python code, 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principle, God does not play dice, quantum philosophy, advanced modeling, scientific illustration, computational validation, physics education, research tool, atomic simulation, quantum mechanics validation, probability reduction, trajectory determinism, electron motion, hydrogen atom simulation, microscopic physics, electron dynamics, uncertainty minimization, quantum interpretation, experimental simulation, numerical plotting, double-slit pattern, deterministic pattern, interference fringes, Hamzah model comparison, classical vs Hamzah, scientific graphing, Δx·Δp curve, quantum-classical contrast, wavefunction collapse, electron uncertainty, quantum measurement, deterministic outcome, s-parameter scaling, fractal modeling, hidden variables theory, χ-variable, atomic orbital visualization, atomic physics computation, advanced physics code, Python simulation, electron path modeling, hydrogen energy computation, quantum-classical graph, uncertainty visualization, advanced plotting, 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Hamzah Certainty Principle. Confirmation of Einstein's Statement 'God Does Not Play Dice' and the Refutation of Heisenberg's Uncertainty Principle

Autoren: JALALI, SEYED RASOUL

Schlagwörter: quantum mechanics, Heisenberg uncertainty, Schrödinger equation, Hamzah equation, complex integral, fractal derivative, hidden variable, deterministic physics, classical model, electron hydrogen atom, Bohr radius, reduced Planck constant, electron mass, electron charge, vacuum permittivity, Δx, Δp, uncertainty principle, quantum simulation, numerical example, double-slit experiment, tunneling effect, quantum tunneling, probabilistic interpretation, deterministic interpretation, wavefunction, Born rule, Copenhagen interpretation, path integral, fractal physics, fractal uncertainty, hidden variable χ, atomic orbitals, hydrogen energy levels, quantum probabilities, quantum superposition, quantum states, electron trajectory, quantum dynamics, numerical modeling, graphical simulation, scientific validation, physics comparison, classical uncertainty, exponential decay, s-parameter, fractal dimension, knowledge level, visualisation, plotting, matplotlib, numpy, Python code, 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principle, God does not play dice, quantum philosophy, advanced modeling, scientific illustration, computational validation, physics education, research tool, atomic simulation, quantum mechanics validation, probability reduction, trajectory determinism, electron motion, hydrogen atom simulation, microscopic physics, electron dynamics, uncertainty minimization, quantum interpretation, experimental simulation, numerical plotting, double-slit pattern, deterministic pattern, interference fringes, Hamzah model comparison, classical vs Hamzah, scientific graphing, Δx·Δp curve, quantum-classical contrast, wavefunction collapse, electron uncertainty, quantum measurement, deterministic outcome, s-parameter scaling, fractal modeling, hidden variables theory, χ-variable, atomic orbital visualization, atomic physics computation, advanced physics code, Python simulation, electron path modeling, hydrogen energy computation, quantum-classical graph, uncertainty visualization, advanced plotting, 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validation, complex integral in physics, electron path visualisation, atomic electron path, Bohr orbit modeling, advanced simulation techniques, Python computational physics, numerical physics modeling, hydrogen atom analysis, ΔxΔp calculation, quantum uncertainty minimization, Hamzah model demonstration, electron probability cloud, electron localization analysis, s-parameter impact, fractal trajectory, deterministic quantum mechanics, quantum determinism illustration, advanced atomic physics, computational quantum mechanics, numerical physics research, physics education tool, scientific Python code, visualisation of uncertainty, electron behavior simulation, atomic-scale precision, quantum measurement modeling, deterministic simulation, quantum experimental validation, Hamzah numerical test, classical numerical test, Δx·Δp visualisation, electron orbit comparison, hydrogen atom simulation, fractal uncertainty modeling, hidden variable analysis, advanced physics plotting, Hamzah 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A Systematic Survey on Large Language Models for Code Generation.

Autoren: Jabrw, Sardar K. Sarhan, Qusay I.

Quelle: ARO: The Scientific Journal of Koya University; 2025, Vol. 13 Issue 2, p83-99, 17p

Schlagwörter: LANGUAGE models, CODE generators, PROGRAMMING languages, EVALUATION research, COMPUTER software development, COMPUTER security vulnerabilities, NATURAL language processing

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoren: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Quelle: Frontiers in Mammal Science. 2025, p1-27. 27p.

Assessing code readability in Python programming courses using eye‐tracking.

Autoren: Segedinac, Milan Savić, Goran Zeljković, Ivana et al.

Quelle: Computer Applications in Engineering Education; Jan2024, Vol. 32 Issue 1, p1-16, 16p

Schlagwörter: EYE tracking, MACHINE learning, PYTHON programming language, EYE movements, UNDERGRADUATES, ENCYCLOPEDIAS & dictionaries

Geografische Kategorien: JAVA (Indonesia)

AI Chain-Driven Control Flow Graph Generation for Multiple Programming Language.

Alternate Title: 面向多种编程语言的人工智能链驱动的控制流图生成. (Chinese)

Autoren: ZOU Zhou ZUO Zhengkang HUANG Qing

Quelle: Wuhan University Journal of Natural Sciences; Jun2025, Vol. 30 Issue 3, p222-230, 9p

Insights and Analysis of Open-source License Violation Risks in LLMs Generated Code.

Autoren: Yibo Wang Ying Wang Yue Yu et al.

Quelle: International Journal of Software & Informatics; 2025, Vol. 15 Issue 2, p145-173, 29p

Schlagwörter: OPEN source software, COPYRIGHT infringement, LANGUAGE models, DATA analytics, CODE generators, INTELLECTUAL property infringement, DETECTION algorithms

Effect of Deep Recurrent Architectures on Code Vulnerability Detection: Performance Evaluation for SQL Injection in Python.

Autoren: Slotkienė, Asta Poška, Adomas Stefanovič, Pavel et al.

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3436, 19p

Schlagwörter: DEEP learning, COMPUTER software security, PYTHON programming language

Surface Corrosion Detection for Ferrous-metal Parts: Application of Artificial Intelligence, Python and Microscopic Images.

Autoren: WDOWIK, Roman BEŁZO, Artur BENDIKIENE, Regita

Quelle: Materials Science / Medziagotyra; 2025, Vol. 31 Issue 3, p431-438, 8p

Schlagwörter: ARTIFICIAL intelligence, PYTHON programming language, CORROSION engineering, PRODUCT quality, MICROSCOPY, STEEL corrosion, IRON metallurgy, CONDITION-based maintenance

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Autoren: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Autoren: Tan, Lizhi Cai, Xinyu Kong, Yuan et al.

Quelle: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.