Mathematical modelling of washing machines and tumble dryers

By Torin Fastnedge and Chloe Bernard Research estimates suggest that up to 35% of the microplastics found in our oceans originate from our clothing, specifically microfibres, which are released during the washing machine cycle. Subsequently, these minuscule particles enter the water and are ingested by humans through our food and […]

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Lightweight diacritic restoration for V4 languages

Diacritics restoration became a ubiquitous task in the Latin-alphabet-based English-dominated Internet language environment. We showcase a small footprint 1D convolution-based solution, running in a web browser, which surpassed the performance of similarly sized models. Many languages have alphabets where some characters are derived from other characters using diacritical marks. The […]

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Estimation and simulation of fractional Ornstein-Uhlenbeck processes, using deep neural networks

There is now a great deal of interest in parameter estimation of Ornstein-Uhlenbeck processes in finance because of its modelling capability (see e.g. [1]). That is why we investigated prediction of the unknown parameters with neural networks in the hope that we will obtain more accurate estimators than the ones […]

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Algorithms for Relativistic Lattice Boltzmann

My name is Daniele Simeoni and I am currently a third year PhD student in the framework of European’s Union Horizon 2020 programme STIMULATE: a Joint Doctorate programme with awarding institutions the Bergische Universität Wuppertal, Università degli studi di Ferrara and University of Cyprus.I did both my Bachelor and Master […]

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Enhanced WENO Shock-Capturing Schemes with Deep Learning

My name is Tatiana Kossaczká and I am a first year PhD student in the Applied Mathematics and Numerical Simulation (AMNA) group at the University of Wuppertal, Germany.I completed my bachelor degree at the Comenius University in Bratislava (Slovakia). Then I continued with my studies at University of Wuppertal with […]

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