This article discusses a comparative study investigating the performances of three models: a proposed convolutional neural network (CNN), the VGG16 with fully connected layers (FC), and an eXtreme Gradient Boosting…
Continue readingThis research presents an approach to improve human action recognition using knowledge distillation, and the combination of Convolutional Neural Networks (CNN) and Vision Transformer (ViT) models. The aim is to…
Continue readingThe study presents a novel 1D deep learning tool, CaReNet-V1, for breast cancer subtype evaluation and biochemical content evaluation using micro-FTIR hyperspectral images. The tool effectively classified cancer and adjacent…
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