IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
Frontiers

Personalized ICU mortality assessment by interpretable machine learning algorithms in patients with sepsis combined lung cancer: a population-based study and an external ...

1 Department of Critical Care Medicine, Xuzhou Central Hospital, Xuzhou, Jiangsu, China 2 Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and ...
IEEE

Enhancing Early Plant Disease Detection: 1D to 2D Spectral Transformations

Abstract: Early detection of plant diseases can be challenging due to the subtle differences in early-stage symptoms. Relying solely on the visible traits is insufficient for accurate diagnosis, ...