Abstract: This study proposes a parallel two-branch Dynamic Dilated Convolutional Neural Network (DDCNN) Transformer model for identifying modulation types of underwater acoustic signals. In the ...
Abstract: This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were ...
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