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Optimizes the trade-off between visual sensing energy consumption and mmWave beam alignment accuracy in V2I networks using a physics-aware Heterogeneous Mixture-of-Experts (MoE) framework.
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This is a specialized academic project focused on 6G/V2I infrastructure. While it has 0 stars, the 8 forks suggest immediate interest within a specific research niche. Its defensibility comes from deep domain expertise in telecommunications and physics-aware AI, which is outside the current focus of general-purpose frontier labs.
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