In the »KIBi« project, we are working with our partners to develop an AI-supported process that automatically separates and characterizes aggregates in CT images, thereby simplifying and improving quality assurance and production control in the building materials industry. It is part of a special transfer program run by the Fraunhofer-Gesellschaft and the German Research Foundation (Deutsche Forschungsgemeinschaft DFG).
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Mathematical methods of image processing and Condition Monitoring play a key role in industrial production – in our »Re(Pro)³« project we show how predictive models help to reduce waste and optimize processes sustainably.
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Kurusch Ebrahimi-Fard, Department of Mathematical Sciences, NTNU Fabian Harang, Department of Economics, Norwegian Business school, Oslo Fride Straum, Department of Mathematical Sciences, NTNU Propelled by
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Davide Murari is a PhD student at the Norwegian University of Science and Technology, in the group of Differential equations and Numerical Analysis (DNA). Ferdia
Read moreMy name is Dominic Amann and I am working in the transfer group at the Johann Radon Institute for Computational and Applied Mathematics in Linz.
Read moreMy name is Sébastien Drouyer and I am currently finishing a PhD thesis in the Center for Mathematical Morphology (CMM) at MINES Paristech, under the
Read moreI am Vladimir Curic, a postdoctoral researcher at Uppsala University, Sweden. My research interests include the development of mathematical models for image analysis, morphological image
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