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surveillance) sensors can also be seen as temporal events. While data from current sensors can be manually converted into events for fast processing, it is also possible to develop hybrid structures where some
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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-laser-welding of optical laser components to structural components (ps- and fs-pulsed lasers) Advanced utilisation of powder-bed laser fusion metal additive manufacturing. Test methods of evaluating
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