Abstract: Road object detection is pivotal in autonomous vehicles, traffic management, and safety. Traditional methods have limitations in complex real-world road scenarios. Deep learning, with its ...
Abstract: Existing deep learning (DL) models for automatic modulation classification (AMC) of orthogonal frequency division multiplexing (OFDM) signals consider only spatial or temporal attributes, ...
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