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Jeonbuk National University
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A lightweight model can outperform larger counterparts in collision avoidance tasks while slashing computational costs, making real-time deployment feasible in resource-limited environments.
An innovative framework leveraging Beer-Lambert principles boosts anomaly detection in food safety by effectively utilizing Sub-THz imaging characteristics.