UR-AI 2021 : Artificial Intelligence : Application in Life Sciences and Beyond
UR-AI 2021 : Artificial Intelligence : Application in Life Sciences and Beyond

Collection of Accepted Papers of the Symposium

The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. 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, Offenburg and Trier, 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.

Original publication: https://doi.org/10.48550/arXiv.2112.05657

Full Issue
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Foreword

Karl-Herbert Schäfer, Franz Quint
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Foreword
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Articles

Patrick Baier, Stanimir Dragiev
1-10
Challenges in Live Monitoring of Machine Learning Systems
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Pyaree Mohan Dash, Pratiti Bhadra, Volkhard Helms, Bernd Bufe
11-12
Prediction of Activators for Pathogen Sensing Receptors using Machine Learning
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Xavier Jurado, Nicolas Reiminger, Marouane Benmoussa, Jos´e Vazquez, C´edric Wemmert
13-20
Deep Learning associated with Computational Fluid Dynamics to predict pollution concentration fields in urban areas
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Daniel Schaudt, Christopher Kloth, Christian Späte, Andreas Hinteregger, Meinrad Beer, Reinhold von Schwerin
21-27
Improving COVID-19 CXR Detection with Synthetic Data Augmentation
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Muhammad Fawwaz Yusri, Patrick Mangat, Oliver Wasenm¨uller
28-37
Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking
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Xiaoxiao Zhang, Maik Kschischo
38
MFmap: A semi-supervised generative model matching cell lines to cancer subtypes
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Jonas Annuscheit, Benjamin Voigt, Oliver Fischer, Patrick Baumann, Sebastian Lohmann, Christian Krumnow, Christian Herta
39-48
Systematic investigation of Basic Data Augmentation Strategies on Histopathology Images
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Pervaiz Khan, Manuela Gries, Ahmed Sheraz, Steven Schulte, Anne Christmann, Marko Baller, Karl-Herbert Schäfer, Andreas Dengel
49-51
Online extraction of functional data from video recordings of gut movements using AI features
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Marcelle Lopes, Stephan Quint
52
An artificial neural network-based toolbox for the orphological analysis of red blood cells in flow
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Jonas Nolde, Ruxandra Lasowski
53-60
Comparing a deterministic and a Bayesian classification neural network for chest diseases in radiological images
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Johannes Anastasiadis, Michael Heizmann
61-70
Gaussian Process Inspired Neural Networks for Spectral Unmixing Dataset Augmentation
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Mohamed Almagboul, Praveen Chaitanya Anantha, Reiner Jäger, Guru Prashanth Sridhar
71-72
R&D of a Multisensory System for Excavation Machines for the Real-time Generation of AI/ML classified, Georeferenced and BIM compliant Voxel Models of Soil (ZIM Project HOBA)
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In`es Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Bon´e
73-83
Predictive prognostic for Li-Ion batteries in electric vehicles
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Alexander Melde, Astrid Laubenheimer, Norbert Link, Christoph Schauer
84-93
An Architecture to Quantify the Risk of AI-Models
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Dieter Wallach, Lukas Flohr, Annika Kaltenhauser, Sven Fackert
94-95
Exercises in Human-Centered AI: On Shneiderman’s Second Copernican Revolution
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Holger Ziekow, Ulf Schreier, Alexander Gerling, Alaa Saleh
96-105
Interpretable Machine learning for Quality Engineering in Manufacturing - Importance Measures that Reveal Insights on Errors
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Youssef Beltaifa, Shahida Faisal, Maurice Kettner
106-118
Application of Machine Learning Methods for the Development of Internal Combustion Engines – An Overview
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Christina Cociancig, Christoph Lüth, Rolf Drechsler
119-127
Modeling for Explainability: Ethical Decision-Making in Automated Resource Allocation
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Tanju Gofran, Maurice Kettner, Dieter Schramm
128-137
Condition Monitoring of Electric Motor with Convolutional Neural Network
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Johannes Heidt, Klaus Dorer
138-149
Classification and Prediction of Bicycle-Road-Quality using IMU Data
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Mohammad Reza Hajizadeh Javaran, Amadou-oury Bah, Mohammad Mahdi Rajabi, Gabriel Frey, Florence Le Ber, Marwan Fahs
150-157
Modeling natural convection in porous media using convolutional neural networks
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Thomas Klauer, Bastian Plaß
158-166
Point Cloud Capturing and AI-based Classification for as-built BIM using Augmented Reality
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Nima Samsami, Stephan Kurpjuweit
167-174
A Reference Model for Dialog Management in Conversational Agents in High-Engagement Use Cases
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Alexander Schwarz, Björn Morgenthaler, Victor Vaquero Martinez, Miguel Garrido García, Manuel Duque-Antón
175-183
Verify Embedded Systems Faster and more Efficiently with Artificial Intelligence
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Benjamin Peric, Michael Engler
184-193
Suitability analysis of machine learning algorithms: Processing three-dimensional spatial data for automated robot control
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Am´elie Raymond, Baptiste Brument, Pierre Parrend
194-204
VizNN: Visual Data Augmentation with Convolutional Neural Networks for Cybersecurity Investigation
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Andreas Reich, Ruxandra Lasowski
205-211
Towards generating complex programs represented as node-trees with reinforcement learning
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Michael Weber, Tobias Weiß, Franck Gechter, Reiner Kriesten
212-223
Use of Artifical Intelligence and Image Segmentation for 3-Dimensional Modeling
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Jan Calvin Kramer, Thomas Golda, Jonas Hansert, Thomas Schlegel
224-233
Improving Temporal Consistency in Aerial Based Crowd Monitoring Using Bayes Filters
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Liane Meßmer, Christoph Reich
234-243
Potentials of Semantic Image Segmentation Using Visual Attention Networks for People with Dementia
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