The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

QTS2D is a Python library for encoding time series data into image representations using quantum computing principles. These image-based representations can then be used as input for various machine ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Abstract: With the integration of graph structure representation and self-attention mechanism, graph Transformer demonstrates remarkable effectiveness in hyperspectral image (HSI) classification by ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

In this episode, host Craig Eason talks to Tristan Smith from University College London’s UCL Energy Institute about an academic paper assessing the costs for shipowners when they opt for new fuels.

1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Faculty of Life Science and Technology, Kunming University of Science and Technology ...