Suchergebnisse - (( (stateen OR studiene) python code analysis ) OR ( state python code analysis ))*

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

Python API Misuse Mining and Classification Based on Hybrid Analysis and Attention Mechanism.

Autoren: He, Xincheng Liu, Xiaojin Xu, Lei

Quelle: International Journal of Software Engineering & Knowledge Engineering. Oct2023, Vol. 33 Issue 10, p1567-1597. 31p.

Schlagwörter: *COMPUTER software development, *APPLICATION program interfaces, PYTHONS, PYTHON programming language, CLASSIFICATION

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.

Autoren: Özbey, Mehmet Furkan Turhan, Cihan

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

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

Smart Compiler Assistant: An AST based Python Code Analysis

Autoren: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

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

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

Analysis of accretion disc structure and stability using open code for vertical structure.

Autoren: Tavleev, A S Lipunova, G V Malanchev, K L

Quelle: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.

Schlagwörter: *ACCRETION disks, *RADIATION, *COMPACT discs, *ACCRETION (Astrophysics), *SUPERMASSIVE black holes, *EQUATIONS of state, *STELLAR photospheres

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

MoveApps: a serverless no-code analysis platform for animal tracking data.

Autoren: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Quelle: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

BatAnalysis - A Comprehensive Python Pipeline for Swift BAT Survey Analysis

Autoren: Tyler Parsotan Sibasish Laha David M. Palmer et al.

Quelle: The Astrophysical Journal. 953(2)

Schlagwörter: Space Radiation

Zugangs-URL: https://ntrs.nasa.gov/citations/20230009620

Fast robust methods for singular state-space models.

Autoren: Jonker, Jonathan Aravkin, Aleksandr Burke, James V. et al.

Quelle: Automatica. Jul2019, Vol. 105, p399-405. 7p.

Schlagwörter: *STATE-space methods, *TIME series analysis, *KALMAN filtering, *CONSTRAINED optimization, *SOURCE code

DeVAIC: A tool for security assessment of AI-generated code.

Autoren: Cotroneo, Domenico De Luca, Roberta Liguori, Pietro

Quelle: Information & Software Technology. Jan2025, Vol. 177, pN.PAG-N.PAG. 1p.

Schlagwörter: *COMPUTER software development, *ARTIFICIAL intelligence, *SECURITY management, CODE generators, SOURCE code

Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data.

Autoren: Tulpan, Dan¹

Quelle: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Schlagworte: Machine learning, Personal computers, Animal science, Data modeling, Python programming language

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.

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

Autoren: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

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

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

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations.

Autoren: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu et al.

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

Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.

Autoren: Martvel, George Eretová, Petra Přibylová, Lucie et al.

Quelle: BMC Veterinary Research. 5/24/2025, Vol. 21 Issue 1, p1-13. 13p.

Schlagworte: Emotions in animals, Behavioral assessment, Dog behavior, Facial expression, Artificial intelligence, Dogs

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

Autoren: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. et al.

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

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

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Autoren: DİLAVER, Hatice DİLAVER, Kamil Fatih

Quelle: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Schlagworte: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoren: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Quelle: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Schlagworte: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

MLtool Python Code

Autoren: Nikolai A Zarkevich Nishan Senanayake Joshua Stuckner et al.

Schlagwörter: Computer Programming and Software

Relation: MLtool: Universal Supervised Machine Learning Tool to Model Tabulated Data

Zugangs-URL: https://ntrs.nasa.gov/citations/20230005458

ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data.

Autoren: Su, Rongxiang Liu, Yifei Dodge, Somayeh

Quelle: Movement Ecology. 3/9/2024, Vol. 12 Issue 1, p1-14. 14p.