Wrocław. New Project Launch: Advancing Fault Detection via Cyclostationary Modelling (WEAVE-UNISONO)

Faculty of Pure and Applied Mathematics, Wrocław University of Science and Technology is pleased to highlight a significant new collaborative research initiative: “Advanced signal processing

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Milano. Exploring the (seemingly) Silent Brain

Understanding how the human cerebral cortex processes information and integrates activity across distributed regions is a central goal of modern neuroscience. The cortex is organized

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Milano. Probabilistic and Statistical Methods for Forensic Anthropological Identification

Forensic science often operates at the boundary between mathematics, medicine, and the law, particularly in contexts where identifying deceased individuals is both scientifically challenging and

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Trondheim. Patterns from instability: How 1D soliton breaks dimensions to find 2D surfaces

By Wei Lian NTNU Norwegian University of Science and Technology In engineering, “instability” is often viewed as a failure—a bridge buckling in the wind or

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Trondheim. DIScover — discovering dynamics from data, with uncertainty built in

By Mats Ehrnström NTNU Norwegian University of Science and Technology DIScover is a collaboration and centre proposal in mathematical sciences designed to make dynamical discovery

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Coimbra. iCarbono: a carbon emissions monitoring and warning system

The iCarbono project, led by the Polytechnic Institute of Bragança and financed by the “Promove – Regiões Fronteiriças” program, is being developed across the NUTS

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Milano. The stochastic geometry of the sea echinoids skeleton

Recently an interdisciplinary group of mathematicians at University of Milan, together with biologists, material scientists and experts of design, coming both from University of Milan

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Milano. The new DESIRE Center at University of Milan

The new interdipartimental Research Center DESIRE (DEcision ScIence Research cEnter) has been established at Università degli Studi di Milano in 2024, as an evolution of

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At the heart of the project is an image data-based system that uses Image Processing and Machine Learning to integrate temporal changes in product qualities and process variables.

Kaiserslautern. Mathematics Meets Industry: Optimizing Production with Image-Based Condition Monitoring and Predictive Maintenance

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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Schoonschip Communitiy ©Isabel Nabuurs

Kaiserslautern. Dynamic Electricity Prices and Flexibility Marketing for the Floating Energy Community Schoonschip

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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