UR-AI 2020 : Artificial Intelligence : Research Impact on Key Industries
UR-AI 2020 : Artificial Intelligence : Research Impact on Key Industries

Collection of Accepted Papers of the canceled Symposium

The TriRhenaTech alliance presents a collection of accepted papers of the cancelled tri-national 'Upper-Rhine Artificial Intelligence Symposium' planned for 13th May 2020 in Karlsruhe. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, and Offenburg, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes écoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.

ISBN: 978-3-943301-29-8

Original publication: https://doi.org/10.48550/arXiv.2010.16241

Full Issue
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Foreword

Crispino Bergamaschi
1-2
Foreword
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Articles

Jens Fischer, Klaus Dorer
3-11
Learning to Walk With Toes
PDF
Christian Schorr
12-23
Machine Learning assisted Gross Weight Prediction for Alcoholic Beverages in Retail
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Tim Schanz, Robin Tenscher-Philipp, Martin Simon
24-33
AI-Powered Analysis of Industrial CT Data
PDF
Clarissa Almeida Rodrigues, William da Rosa Fröhlich, Sandro José Rigo, Eliza Kern de Castro, Andreia Rodrigues, Rodrigo Marques Figueiredo, Ana Paula Mallmann
34-40
Towards Classification and Prediction of Stress Patterns using Multiple Physiological Signals
PDF
Matthias Wölfel
41-51
Artificial Intelligence Assisted Creation Fostering Inspiration & Raising Moral Issues
PDF
Alexander Gerling, Alaa Saleh, Ulf Schreier, Holger Ziekow
52-53
Supporting Quality Assessment in Manufacturing by Machine Learning: First Results of PREFERML Project
PDF
Martin Haimerl
54-65
Validation of Continuously Learning AI/ML Systems in Medical Devices – A Scenario-based Analysis
PDF
Christian Kunz, Franziska Mathis-Ullrich, Bj¨orn Hein
67-77
Augmented Reality in the Operating Room for Neurosurgical Interventions
PDF
Samuel Zeitvogel, Johannes Wetzel, Astrid Laubenheimer
79-84
Scene-Adaptive Disparity Estimation in Depth Sensor Networks Using Articulated Shape Models
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Norbert Link, Tarek Iraki, Johannes Dornheim
85-91
Inverse Process-Structure-Property Mapping
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Luisa Hornung, Simon Lawo, Christian Wurll
93-101
A New Approach to Gesture Based Real-Time Robot Programming Using Mixed Reality
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Mathias Anneken, Moritz Strenger, Sebastian Robert, Jürgen Beyerer
103-114
Classification of Maritime Vessels using Convolutional Neural Networks
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Jonas Hansert, Madlon Pécaut, Thomas Schlegel
115-125
Comparison of CNN for the detection of small ojects based on the example of components on an assembly table
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Raphael Schwarz, Marin Marinov, Stefan Hensel
127-135
Optical 3D Object Recognition for Automated Driving
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