Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Neural networks and label-free microscopy enable accurate detection of pancreatic tumors

Pancreatic neuroendocrine neoplasms (PNENs) are a rare form of cancer that affects hormone-producing cells in the pancreas.
IEEE

ERD: Encoder-Residual-Decoder Neural Network for Underwater Image Enhancement

Abstract: In underwater environments, the absorption and scattering of light often result in various types of degradation in captured images, including color cast, low contrast, low brightness, and ...
IEEE

Improving Image Classification Using Attention Mechanisms in Deep Learning Models

Abstract: In this study, we explore the application of attention mechanisms to enhance deep learning models in the context of image classification. We assess several types of attention mechanisms ...