Artificial Intelligence : From Research to Application
Artificial Intelligence : From Research to Application

The TriRhenaTech alliance universities and their partners presented their competences in the field of artificial intelligence and their cross-border cooperations with the industry at the tri-national conference 'Artificial Intelligence : from Research to Application' on March 13th, 2019 in Offenburg. 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: 978-3-9820756-0-0

Original publication: https://doi.org/10.48550/arXiv.1903.08495

Full Issue
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Foreword

Crispino Bergamaschi
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Foreword
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Articles

Florent Bourgeois, Pierre Arlaud, Philippe Studer, Jean-Marc Perronne
3-6
The Mobile MEASURE Metrology Knowledge Schema: an Artificial Intelligence Reasoning over Metrology
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Christoph Reich, Ahmed Samet
7-13
HALFBACK Project: The Use of Machine Learning to Achieve High-Availability in Production
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Tanju Gofran, Peter Neugebauer, Dieter Schramm
15-21
Feature Extraction from Raw Vibration Signal and Classification of Bearing Faults Using Convolutional Neural Networks
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Norbert Link, Johannes Dornheim
23-29
Machine Learning Methods for State Tracking and Optimal Control of Production Processes
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Martin Haimerl
31-35
Current regulatory issues of AI in the field of medical technology
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Ralph Isenmann, Jürgen Prinzbach, Stephan Trahasch, Volker Sänger, Tobias Lauer, Tobias Hagen, Klaus Dorer
37-41
Machine Learning: Menschen Lernen Maschinelles Lernen
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Felix Wagner, Christoph Lehmann, Klaus Dorer
43-46
Object Detection for the Audi Autonomous Driving Cup
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Bastian Beggel, Johannes Schmitt
47-52
Design and Implementation of a Deep-Learning Course to Address AI Industry Needs
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Matthias Haselmaier, Alexander Schwarz, Tim Hallyburton
53-57
Reinforcement Learning - Agents Learn to Interact in Unknown Environments
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Bj¨orn Hein, Hosam Alagi
59-69
Two Examples of Using Machine Learning for Processing Sensor Data of Capacitive Proximity Sensors
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Moritz Weisenböhler, Michael Walz, Christian Wurll
71-75
Automated Item Picking - Machine Learning Approach to Recognize Sports and Fashion Articles
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Mohammadali Kadivar, Bahman Azarhoushang
77-82
Intelligent Grinding Process via Artificial Neural Networks
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Ossmane Krini, Josef Börcsök, Agnieszka Moranda, Tanja Weiser
83-94
New Tool to Determine the Safety-Parameters Based on Safety Standard
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Frederico G. C. Lima, Almothana Albukhari, Ulrich Mescheder
95-99
Machine Learning for Contactless Low-Cost Vital Signs Monitoring Systems
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Nadine Müller, Klemens Schnattinger
101-111
Integration of Weighted Terminological Concepts and Vague Knowledge in Ontologies for Decision Making
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Holger Ziekow, Ulf Schreier, Alaa Saleh, Christof Rudolph, Katharina Ketterer, Daniel Grozinger, Alexander Gerling
113-117
Proactive Error Prevention in Manufacturing Based on an Adaptable Machine Learning Environment
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