The key to more powerful plugins may be the graphics processor that you already have in your computer ...

This research was supported by the Higher Education Teaching Reform Research Project of Hunan Province (Grant No. HNJG20231295) and the 2025 Teaching Reform Research Program for Regular Undergraduate ...

Until now, our neural networks have treated every input feature independently. That works for tabular data, but images are different. A 224×224 image contains over 50,000 pixels, and nearby pixels are ...

Abstract: Transformer, an attention-based encoder–decoder model, has already revolutionized the field of natural language processing (NLP). Inspired by such significant achievements, some pioneering ...

A differentiable fractional Fourier transform (FRFT) implementation with layers that can be trained end-to-end with the rest of the network. This package provides implementations of both fast ...

This repository presents an image-based malware classification system developed. The proposed approach transforms malware binaries into grayscale images and applies Convolutional Neural Networks (CNNs ...

School of Information Engineering, Shanghai Maritime University, Shanghai 201306, P. R. China ...