This repo contains an App Designer app for training an image classification deep neural networks in MATLAB. Using this app, you can: Import data and apply standard augmentations. Choose a pretrained ...

Abstract: Network traffic classification solutions have increasingly adopted complex models to improve performance. Yet, we show that a simple 1-nearest neighbor classifier-using only a compact ...

This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

This study aimed to evaluate the effectiveness of deep-learning models using transrectal ultrasound (TRUS) video clips in predicting prostate cancer. We manually segmented TRUS video clips from ...

Due to the limitations of collection conditions and costs, public brain network datasets generally combine data from multiple sites. However, the difference among multi-source data collected from ...

Russia’s intelligence services turned Brazil into an assembly line for deep-cover operatives. A team of federal agents from the South American country has been quietly dismantling it. By Michael ...