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Explanatory Data Science in Technology Applications

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Category

Conference:
4th Workshop on Collaborative Technologies and Data Science in Smart City Applications (CODASSCA 2024): Data Science and Reliable Machine Learning, Yerevan, Armenia, October 3-6, 2024
Date Issued:
14.08.2025
DOI:
10.17185/duepublico/84200
Language:
English
Type of Resource:
Text
Subject categories of the Deutsche Nationalbibliografie:
004 Data processing Computer sciences
Subject categories of the Deutsche Nationalbibliografie:
620 Engineering & allied operations
Link to Raw Object:
https://lib.jucs.org/issue/5177/
Link to Context:
https://codassca2024.aua.am/
Hosting institution:
Faculty of Engineering, Engineering and Information Technology, Digital Signal Processing
Hosting institution:
Faculty of Computer Science, Core Informatics
Info on primary publication:

Explanatory Data Science in Technology Applications. Adrianus Johannes "Han" Vinck and Wolfram Luther (eds.). JUCS - Journal of Universal Computer Science 31(9) (2025). Special Issue. https://lib.jucs.org/issue/5177/

Published: 14-08-2025

funding:

The publication of this book was supported by the Publication Fund of the University of Duisburg-Essen.

version identification:

Version of Record / Verlagsversion

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