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Pavlo Maruschak, Ihor Konovalenko, Yaroslav Osadtsa, Volodymyr Medvid, Oleksandr Shovkun, Denys Baran, Halyna Kozbur and Roman Mykhailyshyn
Modern neural networks have made great strides in recognising objects in images and are widely used in defect detection. However, the output of a neural network strongly depends on both the training dataset and the conditions under which the image was ac...
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Andreas Wurzinger, Florian Kraxberger, Paul Maurerlehner, Bernhard Mayr-Mittermüller, Peter Rucz, Harald Sima, Manfred Kaltenbacher and Stefan Schoder
Acoustic emissions play a major role in the usability of many product categories. Therefore, mitigating the emitted sound directly at the source is paramount to improve usability and customer satisfaction. To reliably predict acoustic emissions, numerica...
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Muhammad Abid Jamil, Mohamed K. Nour, Saud S. Alotaibi, Mohammad Jabed Hussain, Syed Mutiullah Hussaini and Atif Naseer
Currently, software development is more associated with families of configurable software than the single implementation of a product. Due to the numerous possible combinations in a software product line, testing these families of software product lines ...
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Eugenio Brusa, Alberto Dagna, Cristiana Delprete and Rocco Gentile
In recent years, the methodology of Model-Based System Engineering (MBSE) has become relevant to the design of complex products, especially when safety critical systems need to be addressed. It allows, in fact, the deployment of product development direc...
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Sebastian Bickel, Stefan Goetz and Sandro Wartzack
The field of application of data-driven product development is diverse and ranges from requirements through the early phases to the detailed design of the product. The goal is to consistently analyze data to support and improve individual steps in the de...
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