FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
Abstract: To address the problem of large parameters in the ResNet model, this article proposes a rolling bearing fault diagnosis method with gram angle field (GAF) and Ghost-ResNet. For addressing ...
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