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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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used to support real-time monitoring, predictive maintenance, geohazard detection, and safer railway operations. The initiative is a collaboration between the Department of Electrical Engineering, the
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for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by the Research Council
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help industrial firms use operational data in new ways, for example to improve fuel efficiency, support predictive maintenance, enhance safety, reduce emissions and optimize the use of resources. In