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demonstrated experimental realizations and proven theoretical advantages. The project may involve several aspects, including mathematical theory, algorithm development, error correction, adaptation of GBS-based
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Faculties Study Research Facilities International You are here: Home The page could not be found Possible reasons: You made a typing error. The page has been deleted or renamed. Back to the homepage
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vulnerable parts of the system for attacks, model faults and attack risks, and develop new control architectures that mitigates them towards achieving operational resilience throughout their life. Your PhD
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-error approach due to a lack of comprehensive hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve
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Faculties Study Research Facilities International You are here: Home The page could not be found Possible reasons: You made a typing error. The page has been deleted or renamed. Back to the homepage
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projects within the Centre for Assured and Connected Autonomy. The research will significantly enhance aircraft maintenance processes by reducing inspection times, costs, and human error risks. It will
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processing power of a novel photonic integrated circuit architecture [Heuck2023]. This includes studying the effects of optical loss and decoherence and methods to overcome these by error detection and
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electricity distribution systems, especially in urban areas. Faults in distribution cable systems are rare but increase with service age and depend on the cable designs and environment. Because faults
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maintenance (O&M) practices for wind turbines, with a focus on fault types that degrade turbine and plant-level power performance. Identifying key signals or performance indicators related to asset health and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
generate vast amounts of operational and maintenance data, much of it remains fragmented and underutilized. Unlocking insights from this unstructured data could enable earlier fault detection, improved