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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a framework for translating routinely collected monitoring data into actionable
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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-induced dynamic behaviour. Transfer functions linking LDV, ABA, TG, and wayside sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a
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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed
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-world domains including healthcare, environmental systems, robotics, industrial processes, and sensor data analytics. What is it really like to work at the Faculty of Science and Technology (REALTEK
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which