Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …

Deep learning architectures have demonstrated outstanding results in image classification
in the last few years. However, applying sophisticated neural network architectures in small …

Hand gestures play a significant role in human interactions where non-verbal intentions,
thoughts and commands are conveyed. In Human–Robot Interaction (HRI), hand gestures …

In this paper, we introduce a transformer into the field of credit scoring based on user online
behavioral data and develop an end-to-end feature embedded transformer (FE-Transformer) …

As an agricultural commodity, corn functions as food, animal feed, and industrial raw
material. Therefore, diseases and pests pose a major challenge to the production of corn …

Abstract While Convolutional Neural Networks and Vision Transformers are the go-to
solutions for image classification, their model sizes make them expensive to train and …

On the one hand, the solution of computer vision tasks is associated with the development of
various kinds of images or random fields mathematical models, ie, algorithms, that are called …

Lung nodule detection is key in early diagnosis of lung cancer. Expert radiologists dedicate
a significant amount of time and effort to detecting such nodules manually by going through …

Most spectral–spatial classification methods for hyperspectral images (HSIs) can achieve
satisfactory classification results. However, the common problem faced with these …

Laser ultrasonic testing is an advanced non-destructive testing with high frequency and fast
detection speed. However, most laser ultrasonic testing characterises defects by manually …