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. This will involve investigating techniques for model compression and efficient inference to enable on-board condition monitoring directly at the wind turbine, reducing data transmission requirements, central
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classification. To study how to incorporate expert feedback into a semi-supervised learning model, and how to efficiently compress and run the model on embedded devices. To combine heterogeneous data streams
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