Výsledky vyhledávání - "python"

dynsight: An open Python platform for simulation and experimental trajectory data analysis.

Autoři: Martino, Simone Becchi, Matteo Tarzia, Andrew a další

Zdroj: Journal of Chemical Physics. 2/28/2026, Vol. 164 Issue 8, p1-9. 9p.

Témata: *PYTHON programming language, *DATA analysis, *SIMULATION methods & models, *WORKFLOW management, *MOLECULAR dynamics

easyPARM v4.00: A Python-based tool for the automated parameterization of metalloproteins and metal-organic polyhedra with multiple metal centers.

Autoři: Abdelgawwad, Abdelazim M. A. Francés-Monerris, Antonio

Zdroj: Journal of Chemical Physics. 12/14/2025, Vol. 163 Issue 22, p1-16. 16p.

Témata: *PYTHON programming language, *PARAMETERIZATION, *METALLOPROTEINS, *MOLECULAR force constants, *MOLECULAR dynamics

pyTTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks.

Autoři: Lindoy, Lachlan P. Rodrigo-Albert, Daniel Rath, Yannic a další

Zdroj: Journal of Chemical Physics. 11/28/2025, Vol. 163 Issue 20, p1-32. 32p.

Témata: *PYTHON programming language, *TENSOR algebra, *HAMILTON'S principle function, *BENCHMARKING (Management)

A Python tutorial for 3DRISM solvation calculations of chemical and biological molecules.

Autoři: Swanson, Peter C. Cao, Siqin Huang, Xuhui

Zdroj: Journal of Chemical Physics. 11/7/2025, Vol. 163 Issue 17, p1-11. 11p.

Témata: *PYTHON programming language, *BIOMOLECULES, *SOLVATION, *FREE energy (Thermodynamics), *SIMULATION methods & models, *C++

Comprehensive energy modeling and optimization of hybrid PV-Wind systems for Ankara, Türkiye and Fujairah, UAE

Autoři: Qamar, Shabahat Hasnain Farouk Salim Habib, Omar Ahmed Said, Zafar a další

Zdroj: Energy Conversion and Management. 29

Témata: Hybrid Renewable Energy Systems (HRES), Techno-Economic Analysis (TEA), Python-Based Energy Modeling, Renewable Energy Integration, Photovoltaic-Wind Optimization

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-49148
https://doi.org/10.1016/j.ecmx.2026.101520

Conceptualization, design and optimal operation of hybrid AC-DC power router grids

Autoři: Gadelha Teixeira Filho, Vinicius

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica

Thesis Advisors: Sumper, Andreas, Bullich Massagué, Eduard

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Optimal power flow, Power router, Energy router, Distribution grid, Modelling, Smart grid, Second-order cone, Pyomo, Python, Branch-flow model, Converter losses, Modular-Multilevel Converter, Power router grid, Àrees temàtiques de la UPC::Enginyeria elèctrica, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695075
https://dx.doi.org/10.5821/dissertation-2117-439793

Simplifying debiased inference via automatic differentiation and probabilistic programming.

Autoři: Luedtke, Alex¹ (AUTHOR)

Zdroj: Journal of the Royal Statistical Society: Series B (Statistical Methodology). Feb2026, Vol. 88 Issue 1, p313-329. 17p.

Témata: AUTOMATIC differentiation, PYTHON programming language, MINIMUM variance estimation, UNBIASED estimation (Statistics), STATISTICAL models, PARAMETERS (Statistics)

Fast Actual/Expected Data Processing.

Autoři: Wesley, David (AUTHOR)

Zdroj: Journal of Insurance Medicine. 2026, Vol. 53 Issue 1, p105-114. 10p.

Témata: *ELECTRONIC data processing, *REAL-time computing, *BIG data, PYTHON programming language, DEATH rate

Creating a Python platform for students to learn full-stack development of financial applications.

Autoři: Tang, Song¹ (AUTHOR) st290@nyu.edu

Zdroj: Financial Innovation. 1/21/2026, Vol. 12 Issue 1, p1-29. 29p.

Témata: *COMPUTER software development, *EMPLOYABILITY, *FINANCE software, PYTHON programming language, FINANCE education

Modular approaches and applications in reinforcement learning development and validation of next-generation frameworks

Autoři: Bou Hernández, Albert

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: De Fabritiis, Gianni

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Deep reinforcement learning, Decision-making algorithms, Python libraries, PyTorch, TorchRL, Drug design

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/694233

Virtual and digital models of development of production business processes of industrial enterprises.

Autoři: Zhukov, Aleksandr Ponomareva, Svetlana Khachaturyan, Suren a další

Zdroj: AIP Conference Proceedings. 3/9/2026, Vol. 3390 Issue 1, p1-5. 5p.

Témata: *PYTHON programming language, *DIGITAL twin, *MANUFACTURING industries, *REENGINEERING (Management), *MANUFACTURING process management, *INDUSTRIAL management

Geografický termín: RUSSIA

ARIMA based smart computing model developed in python for monthly international tourist arrivals (ITAs) prediction in India.

Autoři: Kulshrestha, Akshay Shanker Juyal, Deepak Dani, Rakesh a další

Zdroj: AIP Conference Proceedings. 3/6/2026, Vol. 3365 Issue 1, p1-8. 8p.

Témata: *INTERNATIONAL tourism, *PYTHON programming language, *COVID-19 pandemic, *BOX-Jenkins forecasting, *TREND analysis, *FORECASTING, *TOURISM

Geografický termín: INDIA

Stress detection using a novel python based sentiment analysis technique.

Autoři: Goyal, Anita Singh, Maninder Goyal, Anmol

Zdroj: AIP Conference Proceedings. 2026, Vol. 3382 Issue 1, p1-9. 9p.

Témata: *SENTIMENT analysis, *PYTHON programming language, *STRESS management, *FACIAL expression, *SOCIAL network analysis, *LINGUISTICS, *METADATA

metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning.

Autoři: Bigi, Filippo Abbott, Joseph W. Loche, Philip a další

Zdroj: Journal of Chemical Physics; 2/14/2026, Vol. 164 Issue 6, p1-19, 19p

Témata: MACHINE learning, ATOMS, SIMULATION software, METADATA, PYTHON programming language

pyRMG: A framework for high-throughput, large-cell DFT calculations on supercomputers.

Autoři: Morelock, Ryan Bagchi, Soumendu Briggs, Emil a další

Zdroj: Journal of Chemical Physics; 2/7/2026, Vol. 164 Issue 5, p1-20, 20p

Témata: DENSITY functional theory, SUPERCOMPUTERS, GRAPHICS processing units, PYTHON programming language, FOURIER transform infrared spectroscopy

libMobility: A Python library for hydrodynamics at the Smoluchowski level.

Autoři: Fish, Ryker Carter, Adam Diez-Silva, Pablo a další

Zdroj: Journal of Chemical Physics; 1/28/2026, Vol. 164 Issue 4, p1-17, 17p

Témata: HYDRODYNAMICS, BIOPHYSICS, BOUNDARY value problems, PYTHON programming language, COMPUTATIONAL fluid dynamics

Base, Instruct, and Fine-Tune: Evaluating LLMs for Cross-Language Flaky Test Detection

Autoři: Ahmad, Azeem Sun, Xin

Zdroj: IEEE Access. 13:205254-205277

Témata: Codes, Java, Semantics, C plus plus languages, Python, Large language models, Vocabulary, Training, Adaptation models, Robustness, Flaky tests, non-deterministic tests, fine-tuning, software testing, large language models, base models

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-220548
https://doi.org/10.1109/ACCESS.2025.3639645

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks

Autoři: Wang, Yiran Meijer, Willem Lopez, Jose Antonio Hernandez a další

Zdroj: IEEE Transactions on Software Engineering. 51(7):2181-2196

Témata: Computer bugs, Libraries, Codes, Pipelines, Data models, Python, Data science, Software development management, Training, Semantics, Software bugs, machine learning, Jupyter notebooks, empirical study, crashes

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-216777
https://doi.org/10.1109/TSE.2025.3574500

Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study

Autoři: Ahmad, Azeem Sun, Xin Naeem, Muhammad Rashid a další

Zdroj: IEEE Access. 13:54561-54584

Témata: Codes, Accuracy, Vocabulary, Java, Feature extraction, Python, Training, Reproducibility of results, Random forests, Programming, Flaky tests, non-deterministic tests, machine learning, artificial intelligence, software testing

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213193
https://doi.org/10.1109/ACCESS.2025.3553626

UNMANAGED TEMPLATES.

Autoři: Salmanov, Vugar Eyvazov, Zaur

Zdroj: German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft. Nov2025, Issue 116, p91-94. 4p.

Témata: *PROGRAMMING languages, PYTHON programming language, SYNTAX in programming languages, DESIGN