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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing
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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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