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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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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The Schoonschip energy community is an association of 30 floating houses with photovoltaic systems, heat pumps and battery storage units in a side arm of the IJ canal, north of Amsterdam. What makes it special is the innovative technologies that enable the members to manage their energy supply collectively. Since 2018, for example, they have been able to maximize the use of their own energy generation by integrating the Amperix energy management system developed at the Fraunhofer ITWM and thus jointly reduce the amount of energy they still need to purchase.
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The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of
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Artificial Intelligence (AI) technologies are crucial for ongoing digital transformation across various business sectors and critical infrastructures. The rise of the Internet of Things (IoT)
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Natural catastrophes pose a tremendous threat to our health and lives but are also a cause of huge losses in property and infrastructure. As the
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In a mobile network, signals are transmitted via radio waves using a global network of receivers and transmitters. Communication between users may concern voice/text/data transmission.
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With the EMMA4Drive project, our researchers of the Fraunhofer Institute for Industrial Mathematics ITWM are further developing the dynamic human model EMMA for use in fully or partially autonomous driving vehicles.
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Together with four partners, our researchers at the Fraunhofer ITWM are investigating the effects of fibre distribution in wood-based insulation materials in the project »Oho: Optimization of Wood-Fibre Based Insulation Materials« with the aim of improving thermal insulation. The aim is to achieve a thermal conductivity of less than 35 W/K. The project is funded by the Federal Ministry of Education and Research (BMBF).
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ALMA Project’s novel lightweight, efficient and sustainable Battery Electric Vehicle (BEV) structure for passenger cars promises major strides in the EU’s green road transport transition away from fossil fuels. The ALMA BEV body-in-white (BiW) is 22 percent lighter than the baseline design, resulting in a 24 percent reduction in carbon emissions for the BiW and a corresponding 9 percent reduction for the entire car over the vehicle’s entire service life.
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The vast oceans will always be under-sampled, but with the availability of satellite data and physics-based numerical ocean models one can gain nuanced insight about a variety of ocean variables.
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