First, to improve the performance of a 2-D convolutional neural network (2DCNN), low-frequency features with a maximum autocorrelation ... Second, to improve the accuracy of 2DCNN and extract smooth ...

However, traditional convolutional neural networks have a limited receptive field and transformer-based networks are unsatisfactory in constructing long-term dependency from the perspective of ...

Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

Taiyuan, Shanxi, China Introduction: In the aviation field, drone search and rescue is a highly urgent task involving ... Small-object detection is a long-term challenge in deep learning convolutional ...