Few-shot learning (FSL) has emerged as an effective learning method and shows great
potential. Despite the recent creative works in tackling FSL tasks, learning valid information …

Touchless biometrics has become significant in the wake of novel coronavirus 2019 (COVID-
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …

Multi-modal imaging data fusion has attracted much attention in medical data analysis
because it can provide complementary information for more accurate analysis. Integrating …

Deep learning-based palmprint recognition methods have made good progress and
obtained promising performance. However, most of them are mainly focused on …

Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …

In recent years, most denoising methods based on deep convolutional neural networks
heavily rely on massive noisy–clean image pairs. Collecting massive noisy–clean image …

The existing fault diagnosis methods can achieve good results when various status fault
data are available. However, the construction of the diagnosis model is often unachievable …

The exceptional feature extraction capabilities of deep neural networks (DNNs) have
significantly advanced palmprint recognition. However, DNNs typically require training and …

Recent advancements in deep learning have led to significant breakthroughs across various
fields. However, these methods often require extensive labeled data for optimal …

Emotion recognition has become an important area in affective computing. Emotion
recognition based on multichannel electroencephalogram (EEG) signals has gradually …