Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...

The restaurant replied to the viral online debate in an Instagram post, saying the situation was a result of a botched delivery Smith Collection/Gado/Getty A San Francisco hamburger joint is facing ...

Former Vice President Kamala Harris’s newly-launched content hub dropped a new column putting CNN and Jake Tapper on blast for a recent style change to some shows. “In case you missed it, which you ...

Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.

Abstract: Anemia is a global health concern impacting vulnerable populations which necessitates improved diagnostic methods beyond traditional approaches such as complete blood count. This study ...

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...

Abstract: Ophthalmic diseases are a major contributor of blindness and visual impairment globally. Effective treatment and halting the progression of the disease depend on an early and precise ...

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...

Abstract: Feature representation is crucial for hyperspectral image (HSI) classification. However, existing convolutional neural network (CNN)-based methods are limited by the convolution kernel and ...

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...