ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components (software)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10453491" target="_blank" >RIV/00216208:11320/22:10453491 - isvavai.cz</a>
Result on the web
<a href="https://github.com/smartarch/ML-DEECo-artifact" target="_blank" >https://github.com/smartarch/ML-DEECo-artifact</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components (software)
Original language description
A software artifact for the paper "ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components" by Michal Töpfer, Milad Abdullah, Martin Kruliš, Tomáš Bureš, and Petr Hnětynka (DOI of the paper 10.1109/ACSOSC56246.2022.00033).
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GC20-24814J" target="_blank" >GC20-24814J: FluidTrust – Enabling trust by fluid access control to data and physical resources in Industry 4.0 systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
D3S-SW-2022-01
Technical parameters
software je open-source
Economical parameters
software je open-source, jednotky stažení ročně
Owner IČO
00216208
Owner name
Univerzita Karlova