IEEE

PGSMamba: Prompt-Guided Shuffle State Space Model for Hyperspectral Image Classification

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

Kamala Harris’s New Project Takes Shots at Jake Tapper and His CNN Podcast Set Shakeup: ‘Cable News Is Dead’

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 ...
IEEE

CNN-Based Retinal Image Classification for Anemia Detection

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 ...
IEEE

Transformer-Embedded Attentive CNN for Spectral Image Analysis of Rice Blast Syndromes

Abstract: Leaf blast disease is a significant constraint in world-wide rice production systems, necessitating effective monitoring for optimized crop-yield management. Satellite-derived land-surface ...
IEEE

Deep Learning Approaches for Multi-Label Classification of Ophthalmic Diseases: A Systematic Review and Future Directions using Retinal 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 ...
IEEE

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

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

Bridging CNN and Transformer With Cross-Attention Fusion Network for Hyperspectral Image Classification

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 ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

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

Data set update: MEaSUREs Greenland Ice Mapping Project (GIMP) Land Ice and Ocean Classification Mask, Version 1

The MEaSUREs Greenland Ice Mapping Project (GIMP) Land Ice and Ocean Classification Mask, Version 1 data set, available at the NASA National Snow and Ice Data Center Distributed Active Archive Center ...