Bluewin

An ugly election campaign gets even uglier - but was this the preliminary decision?

Will the failed assassination attempt help Donald Trump win the election? Many now see him at an even greater advantage.
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...
Frontiers

Multi-label classification of retinal disease via a novel vision transformer model

The precise identification of retinal disorders is of utmost importance in the prevention of both temporary and permanent visual impairment. Prior research has yielded encouraging results in the ...
Frontiers

EEG-based emotion recognition using hybrid CNN and LSTM classification

Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as physical, behavioral, and mental changes. In the latest days, physiological activity has been used to study ...
IEEE

A Dilated CNN Model for Image Classification

Abstract: The dilated convolution algorithm, which is widely used for image segmentation, is applied in the image classification field in this paper. In many traditional image classification ...
IEEE

A Dilated CNN Model for Image Classification

Abstract: The dilated convolution algorithm, which is widely used for image segmentation, is applied in the image classification field in this paper. In many traditional image classification ...