PATTERNS 2023 - The Fifteenth International Conference on Pervasive Patterns and Applications
June 26, 2023 - June 30, 2023
PATTERNS 2023: Awards
Due to the holiday season and requests from contributors the submission site remains open.
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers (also Invited for IARIA Journals)
Early Forecasting of At-Risk Students of Failing or Dropping Out of a Bachelor's Course Given Their Academic History - The Case Study of Numerical Methods
Isaac Caicedo-Castro, Mario Macea-Anaya, Samir Castaño-Rivera
Patterns for Quantum Software Development
Fabian Bühler, Johanna Barzen, Martin Beisel, Daniel Georg, Frank Leymann, Karoline Wild
Spatiotemporal Modeling of Urban Sprawl Using Machine Learning and Satellite Data
Alexander Troussov, Dmitri Botvich, Sergey Maruev
Best Practices (and Stumbling Blocks) for Diversity-Sensitive Behavior Change in Persuasive Application Design
Alexander G. Mirnig, Stefan Eibl, Thomas Poscher, Lisa Diamond
Requirements for the Application of Knowledge Graphs in Automotive Manufacturing
Jan Michael Spoor, Christian Graewe, Jens Weber
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection
Sergej Schultenkämper, Frederik Simon Bäumer
Architecture Options to Orchestrate Digital Twins in an Industrial Metaverse for the Predictive Production with AI Methods
Bernd Lüdemann-Ravit, Frieder Heieck