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Engineering and Software Reengineering. The course materials are available on the university's e-learning platform Stud.IP . As an academic partner of Visual Paradigm , the working group Software Engineering
Section: FB3
always had a great interest in working with astronomical data. Insofar she is interested in machine learning methods to analyze astronomical data and software applications that combine artificial and human
Saarlandes DELETO - Machine learning in correlative MR and high-throughput NanoCT. BMBF-Projekt Duratio : 01.04.2020 - 31.03.2023 PI : Tobias Kluth In DELETO, Deep Learning methods for solving inverse [...] cable and pipe products with the help of innovative approaches from the field of Machine Learning or Deep Learning in the form of Convolutional Neural Networks. The project is being carried out in cooperation [...] international research projects with its research on applied mathematics from the core areas of Deep Learning and Inverse Problems. Current projects Finished projects © Universität des Saarlandes KIWi - Hybrid
Saarlandes DELETO - Machine learning in correlative MR and high-throughput NanoCT. BMBF-Projekt Duratio : 01.04.2020 - 31.03.2023 PI : Tobias Kluth In DELETO, Deep Learning methods for solving inverse [...] their possible lifetime. more © Tom Freudenberg, Nick Heilenkötter, ZeTeM TorchPhysics - A deep learning library for differential equations Differential equations have to be solved in a wide variety of [...] character. Therefore, the aim of this project is to create a software package that combines various deep learning approaches for usage in various applications and further research. The project is developed in
and young women from the 5th grade up to school-leaving level and offers attractive teaching and learning opportunities for touching, participating and researching in the subject of computer science. Previous [...] fablab Bremen e.V. https://www.flhb.de/ The FabLab Bremen is a creative environment that encourages learning and experimentation on the one hand and enables the professional implementation of one's own ideas
a Privacy Friendly Long-Term Data Source to Analyze User Behavior Philipp Krieter User & Machine Learning-Based Curation Systems Hendrik Heuer 2019 Finished doctoral theses from before 2019 can be found
network. It also offers mentors the opportunity to exchange ideas with the student generation and to learn from them. Are you interested in the program? Then apply by August 1 at the latest with a letter of
discusses topics relevant to both theoretical and practical applications of dynamics, such as machine learning, bifurcation theory, dynamics and geometry, nonlinear waves, computational methods and medicine
reality exposure therapy". Serious games have long been studied in HCI for their potential to support learning, behavioral change, motivation to exercise and many other areas beyond entertainment. One such area
obtained experimentally in countless laboratory tests. By using models , previously trained via machine learning, synthetic "in silico" data can now also be produced. By generating this type of synthetic data