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Achieving 92.4% accuracy in cognitive impairment detection, this multimodal framework outperforms traditional single-modality approaches and sets a new benchmark for generalization across datasets.
Achieving a robust safety-efficiency trade-off in mixed-autonomy traffic generation could redefine how we model and simulate future transportation systems.
