Results 41 to 50 of about 29,875 (266)

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Python-based constraint language for architecture models

Труды Института системного программирования РАН, 2018
The paper presents an approach to specify constraints on AADL models in Python-based language and a toolset allowing to verify that constraints. The goal of the approach is to enable reusing of existing rich facilities of Python language, tools, and ...
E. . Kornykhin, A. . Khoroshilov
doaj   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

PyBrook—A Python framework for processing and visualising real-time data

SoftwareX
In this paper, we present PyBrook - an original real-time cloud computing framework for the Internet of Things. PyBrook enables users to define complex data processing models declaratively, using the Python programming language.
Michał Rokita, Mateusz Modrzejewski, Przemysław Rokita   +2 more
doaj   +1 more source

Penguatan Pembekalan Kemampuan Pemrograman Dasar bagi Pelajar Sekolah Menengah Umum

Warta LPM, 2023
Basic programming training that teaches problem-solving logic has developed at all ages, from kindergarten, elementary school to higher education age. This happens because at this time, the concept of computing or informatics thinking has been considered
Susana Limanto, Liliana Liliana, Daniel Soesanto, Maya Hilda Louk, Bambang Prijambodo   +4 more
doaj   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Python for gene expression [version 2; peer review: 2 approved]

F1000Research, 2022
Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language.
Leonid Bystrykh
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Type inference for Python programming language

Труды Института системного программирования РАН, 2018
The article presents type inference for programs written in Python programming language. At first, type inference algorithms for parametric polymorphism that were described in the scientific literature are reviewed.
I. E. Bronshteyn
doaj  

A Proposal of Naturalistic Software Development Method [PDF]

Journal of Universal Computer Science
Naturalistic programming purports to include natural language elements in programming languages to increase software expressiveness. Even though natural language is inherently ambiguous, it is richer and thus more expressive than any artificial language.
Lizbeth Alejandra Hernández-González, Ulises Juárez-Martínez, Jezreel Mejía, Alberto Aguilar-Laserre   +3 more
doaj   +3 more sources