Agent frameworks weren’t designed to evaluate every agent action against policies and compliance requirements. We need a ...

The Dell Pro Max 18 Plus wants to give you all the desktop-tier firepower in the world. In return, you must be ready to bear its sheer bulk and the cost burden.

Abstract: Medical data often exhibit class imbalance, which poses a challenge in classification tasks. To solve this problem, data augmentation techniques are used to balance the data. However, data ...

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...

There has been growing attention to multi-class classification problems, particularly those challenges of imbalanced class distributions. To address these challenges, various strategies, including ...

The aim of the challenge was to provide an opportunity for the development, testing and evaluation of AI models for automatic classification of abnormalities captured in VCE video frames. It promoted ...

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 ...

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 ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...