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Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological
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, optical and lidar sensors together with auxiliary data to generate AI-ready datasets. Prepare large training data sets from other satellite remote sensing instruments and auxiliary data Present results
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance
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