Results 131 to 140 of about 169,850 (334)

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages

Journal of Computer Sciences Institute
The article compares machine learning tools using the example of several popular programming languages. Existing tools in the following programming languages were tested and compared with each other: Python, Java, R, Julia, C#. For the needs of article,
Tomasz Wiejak, Jakub Smołka
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Comparative Analysis on the Evaluation of the Complexity of C, C++, Java, PHP and Python Programming Languages based on Halstead Software Science

, 2023
Kevin Agina Onyango, Geoffrey Wambugu Mariga   +1 more
openalex   +2 more sources

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Comparison Of Python (An Open Source Programming Language) With Other Programming Languages

, 2018
Language is a communication tool through which we can communicate with each other like Hindi, English etc any other language. So if we want to communicate with computer, we need computer programming languages. So in computer we have two types of languages, one is low level language which is easily understood by computer but difficult to learn.
openaire   +1 more source

Estimating complexity of programs in Python language

Tehnički vjesnik, 2011
U ovom radu formulirana je metrička složenost za jezik Python. Budući je Python objektno orijentiran jezik, postojeća metričnost je u stanju procijeniti bilo koji objektno usmjeren jezik. Potvrđujemo našu metričnost studijom slučaja, usporednom studijom i empirijskom provjerom valjanosti.
Misra, Sanjay, Cafer, Ferid
openaire   +1 more source

GAUSS JACOBI METHOD IMPLEMENTED IN PYTHON PROGRAMMING LANGUAGE

International Education and Research Journal
Numerical method plays a vital role in solving real time problems that are related to Mathematics, Science, Business, Medicine and Engineering etc. As we all know that every technology is related to mathematics. Hence, among all methods present in Numerical methods, through this paper we are going to discuss about Gauss Jacobi method by considering a ...
null M. Suganya Veni, null S. Devi Durga, null S. A. Sowmiya   +2 more
openaire   +1 more source

IMPORTANCE OF PYTHON PROGRAMMING LANGUAGE IN MACHINE LEARNING.

, 2023
Python programming language plays a crucial role in machine learning. Python's syntax is straightforward, making it both beginner-friendly and a friendly environment for those new to machine learning. Its simplicity allows developers to focus on logic and algorithms without spending time on complex syntax.
openaire   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source