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-making processes. The objective of this PhD project is to develop general methods for Fault Detection, Isolation, and Recovery (FDIR) in systems governed by hyperbolic partial differential equations
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fuzzing technology by learning such models in real-time and using them to: guide the fuzzer, discover logical faults, and pin-point their root cause. This builds on the works of the cyber analytics lab
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to: Conceptualisation and realisation of a versatile, modular, autonomous decision support system (DSS) tailored to enhance the O&M practices of wind turbines, focusing specifically on faults that may cause degradation
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learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural language processing, algorithmic learning, fault
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practices of wind turbines, focusing specifically on faults that may cause degradation of the wind turbine and plant power generation performance. Identify signals or metrics that can be indicators
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three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the
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areas of research might include: An exploration of how individual actions contribute to climate change and the implications for fault liability, or A study of specific legal doctrines and rules related
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are often implemented in hardware to meet performance and efficiency requirements, but their deployment can expose them to attacks such as side-channel analysis and fault injection. Countermeasures against
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practices of wind turbines, focusing specifically on faults that may cause degradation of the wind turbine and plant power generation performance. Identify signals or metrics that can be indicators
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The SiGe-based Quantum Materials