PATTERNS 2023, The Fifteenth International Conference on Pervasive Patterns and Applications

Type: conference

Notes: IARIA Conference.

Editors:
Jens Weber, Baden-Wuerttemberg Cooperative State University Loerrach and Mercedes-Benz AG, Germany
Jan Spoor, Karlsruhe Institute of Technology and Mercedes-Benz AG, Germany

ISSN: 2308-3557

ISBN: 978-1-68558-049-0

Location: Nice, France

Dates: from June 26, 2023 to June 30, 2023

Articles: there are 9 articles

Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection
Sergej Schultenkämper and Frederik Simon Bäumer
keywords: Digital Twin; Privacy; Social Networks

Architecture Options to Orchestrate Digital Twins in an Industrial Metaverse for the Predictive Production with AI Methods
Bernd Lüdemann-Ravit and Frieder Heieck
keywords: Industrial Metaverse; Digital Twin; Virtual Commissioning; PLC; Digital Factory

Requirements for the Application of Knowledge Graphs in Automotive Manufacturing
Jan Michael Spoor, Christian Graewe, and Jens Weber
keywords: Cyber-Physical Systems, Knowledge Based Systems, Production Engineering

Crack Detection Performance Using Nested U-Net Models
Haifa Alhasson
keywords: Convolutional Neural Networks, CRACK500 dataset, Deep Learning, Deep Neural Networks, Image Segmentation, Road Crack, Pavement Crack, Semantic Segmentation.

Automatic Teeth Segmentation From Panoramic X-ray Images Using Deep Learning Models
Shuaa S. Alharbi
keywords: Convolutional Neural Networks, Deep learning, Deep Neural Networks, Image Segmentation, Medical Image Processing, Semantic Segmentation.

Patterns for Quantum Software Development
Fabian Bühler, Johanna Barzen, Martin Beisel, Daniel Georg, Frank Leymann, and Karoline Wild
keywords: Quantum Computing; Pattern Language; Quantum Software Engineering; Quantum Computing Patterns

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, and Samir Castaño-Rivera
keywords: Machine learning; educational data mining; classification algorithm; dropout and failure forecasting; student long-term retention.

Spatiotemporal Modeling of Urban Sprawl Using Machine Learning and Satellite Data
Alexander Troussov, Dmitri Botvich, and Sergey Maruev
keywords: Earth remote sensing; urbanization; evolutionary models of urban development; cellular automata; machine learning.

Best Practices (and Stumbling Blocks) for Diversity-Sensitive Behavior Change in Persuasive Application Design
Alexander G. Mirnig, Stefan Eibl, Thomas Poscher, and Lisa Diamond
keywords: behavior change, sustainability, diversity, design patterns.