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and spatiotemporal scales, i.e., new forms of real-time automation of intelligent active grids including grid-forming converters, using distributed control and artificial intelligence (AI) based
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functionalities remain limited. To address this, the EMMA project will develop sustainable and functional polyolefins by optimizing the flow behavior of post-consumer polyolefins, applying chemical modifications
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of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its fine-grained control
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processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our
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, the set-ups should subject liquid crystalline as well as isotropic liquids, which may be highly viscous and require temperature control, to static or oscillatory flow past strategically placed obstacles in
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are believed to influence the coupling of the leaf to its surrounding air, whereas stomatal size, shape and distribution are assumed to determine the plant’s control on leaf gas exchange. Leaf spectral
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data, accelerometers, and acoustics data. Understanding of sensor technologies and their
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different data collection methods and sensors used to gather road condition data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data