Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Abstract: Since convolutional neural networks (CNN) can extract deeper features from hyperspectral images ... model, J-NHPR, can provide comparative advantage (in terms of classification accuracy) ...

for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins The project includes a detailed explanation of the CNN and ICP ...

This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model ... the classification performance of ViT ...

This study presents a deep Convolutional Neural Network (CNN) model for automated COVID-19 RATD image classification ... The application has been implemented using one of python's web frameworks ...

To implement and generate our convolutional neural networks, we used the Python programming language ... we have proposed a novel method for image-based date palm species classification using a ...