These days, it is possible to use Convolutional Neural Networks (CNN) for the classification and analysis ... Normal chest X-ray images and Pneumonic Chest X-ray images, where each class has 5000 ...

Abstract: In this letter, we propose an efficient hybrid model, named HMC-ViT, that combines a convolutional neural network (CNN) with a multi-class token vision transformer (ViT) to address the ...

with logistic regression serving as a traditional yet widely utilized method across various scientific disciplines. The current popular method for solving multi classification problems is deep neural ...

New research details how infrared thermography, high-definition imaging and neural network analysis can combine ... the realization that the framework of multiple inspection techniques can be ...

Unlike conventional gradient-based methods, which suffer from vanishing gradients and inefficient training, our proposed approach can effectively minimize squared loss and logistic loss. To make ALS ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect," said UC Santa Barbara mechanical engineering professor Francesco ...