Explanatory Data Science in Technology Applications
This volume presents a conference paper selection from the 4th Workshop on Collaborative Technologies and Data Science in Smart City Applications (CODASSCA 2024): Data Science and Reliable Machine Learning, held in Yerevan, Armenia, October 3-6, 2024, https://codassca2024.aua.am/. The special issues guest editors invited five groups of authors from Armenia, Chile, Germany, the UK, and the USA to submit enlarged versions of their CODASSCA 2024 papers There was also a J.UCS open call so that any author could submit papers on the highlighted subjects. The invitation to review the 16 contributions received was accepted by 16 experts, and, after three rounds, seven articles were finally accepted for publication in the special issue.
Authors
- Wolfram Luther (ORCID: https://orcid.org/0000-0002-1245-7628)
- A. J. Han Vinck (ORCID: https://orcid.org/0000-0003-3437-3676)
Institutions
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- JUCS - Journal of Universal Computer Science
- Published
- 2025-08-12
- DOI
- https://doi.org/10.3897/jucs.164654
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft