To develop rice varieties with better nutritional qualities, it is important to classify rice seeds
accurately. Hyperspectral imaging can be used to extract spectral information from rice …

Although deep learning has been proven to significantly outperform most traditional
methods in the classification of large-scale balanced image datasets, collecting enough …

Introduction Expressing emotions play a special role in daily communication, and one of the
most essential methods in detecting emotions is to detect facial emotional states. Therefore …

In recent years, deep learning frameworks have been increasingly used for hyperspectral
image classification (HIC) challenges, with outstanding results. Existing network models, on …

Hyperspectral images (HSI) have been extensively utilized in environmental protection,
agriculture, and land cover applications. But, it is difficult to classify due to improper …

Deep-learning-based techniques have played a vast role in hyperspectral image
classification. Nowadays, transformer-based deep-learning techniques have become …