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-constrained platforms, without heavily relying on human interventions for hardware-aware optimization, or are unable to generate runtime-adaptive workloads, such as AI algorithms that evolve over time in
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model-based control tailored to systems like NudgeFlow. The framework decomposes the global control problem into smaller local problems for each zone or room, enabling independent optimization with local
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, optimization, decision support and operational research, knowledge representation and reasoning, databases, knowledge bases, computer vision, machine listening) as well as expertise in the concrete technological
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) mouse model to improve outcomes. A successful project will result in: A developed and optimized mouse EVLP platform. AI-based identification of 3 IRI and 3 rejection target genes expressed