With the development of Internet of Things (IoT), data are increasingly appearing at the edge
of a network. Processing tasks at the network edge can effectively solve the problems of …

Rice is a high valued subsistence crop that feeds more than 3.5 billion of the world
population. Its importance can be gauged from the fact that the top five rice exporting …

Weapon detection is a very serious and intense issue as far as the security and safety of the
public in general, no doubt it's a hard and difficult task furthermore, its troublesome when …

One of the most primitive problems in face recognition is illumination variation, which is of
significance for image processing and pattern recognition. Existing studies concentrate on …

Face recognition is one of the interesting research topics in the field of computer vision. In
recent years, deep learning methods, especially the Convolutional Neural Network, have …

Face Recognition (FR) has been a widely used biometric technique for identity
authentication in various domains. Despite the remarkable progress in the field of FR during …

The key challenge of face recognition is to develop an effective feature representations for
reducing intrapersonal variations while enlarging interpersonal differences. In this paper, we …

Although face recognition technology is currently integrated into industrial applications, it
has open challenges, such as verification and identification from arbitrary poses …

Current techniques for multi-pose human face matching yield suboptimal outcomes because
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …

Nowadays, many attendance applications utilise biometric techniques such as the face,
fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to …