Abstract: This study investigates the impact of data augmentation strategies on the cross-dataset generalization of deep learning models for wound classification. Using the AZH dataset for model ...

Objective: An estimated 15 million people are affected by depression and anxiety in Pakistan. However, there are relatively few government mental health facilities and certified psychiatrists. This ...

Jobs and inflation data will be released late and with caveats, complicating the Federal Reserve’s interest rate deliberations. By Ben Casselman and Rebecca Davis O’Brien The government shutdown is ...

Abstract: With the rapid development of smart cities and IoT technologies, the application of IoT sensing in smart firefighting and disaster response has gradually become a research and practical ...

The Fall Army Worm (FAW), Spodoptera frugiperda, is an invasive species that has rapidly spread across several continents, causing severe damage to a variety of crops, particularly maize (Dessie et al ...

Large, pretrained model architectures have demonstrated potential in a wide range of audio recognition and classification tasks. These architectures are increasingly being used in Speech Emotion ...

This repository is the official implementation for the paper "Denoising and Augmentation: A Dual Use of Diffusion Model for Enhanced CSI Recovery". We introduce a channel estimation algorithm based on ...