Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
Abstract: This paper presents a novel approach to Automatic Modulation Classification (AMC) that leverages a Gated Activation Patch Selection (GAPS) mechanism to enhance the efficiency of Transformer ...