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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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their resources, risk factors, health and well-being with the help of interviews. In addition, the participants will take part in a 7-day "ecological momentary assessment" at each of these three measurement points
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-efficient, resource-efficient, and occupant-friendly. Potential areas of exploration include: AI-based decision-making techniques for sustainable construction practices Optimising energy usage and occupant
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leveraging real-time big datasets from distributed energy resources (DERs). · Contribute to integrate optimal solutions for operating local energy markets into Real-Time Hardware-in-Loop (RT-HIL) lab