Face recognition is one of the challenging subjects of image processing. Facial recognition
is often a biometric method that basically uses faces to recognize people. The face …

Image edge detection is a difficult task, because it requires the accurate removal of irrelevant
pixels, while retaining important pixels that describe the image's structural properties. Here …

Biometric characteristics can be used to identify an individual, and face recognition systems
are one example of this. However, face-morphing attacks can compromise the security of …

Autism spectrum disorder (ASD) is a neurological condition revealed by deficiencies in
physical well-being, social communication, hyperactive behavior, and increased sensitivity …

In several domains, such as computer vision, natural language processing, and speech
recognition, automatic data labelling is a critical task. Automatic data labelling is the process …

Although lots of research has been done in recognizing facial expressions, there is still a
need to increase the accuracy of facial expression recognition, particularly under …

In this paper, a novel bat algorithm with an asymmetrical weighed variational method
(AWVM-BA) is proposed. The proposed algorithm employs the BA with a point-to-point …

Captioning images is a challenging task at the intersection of Computer Vision (CV) and
Natural Language Processing (NLP), that involves generating descriptive text to depict the …

The anti-oxidant proteins have a closer relation to disease control. Hence an accurate
classification of antioxidant proteins by automated analysis is an essential process for the …

Facial expressions play an important role in human communication and integrating deep
learning techniques into Internet of Things (IoT) scenarios enhances the understanding of …