The problem of the research is to find medical images of purity, high quality and free of
impurities, which contributes to enabling doctors to obtain the results of analyzing the health …

The COVID-19 pandemic is a significant milestone in the modern history of civilization with a
catastrophic effect on global wellbeing and monetary. The situation is very complex as the …

Human gender recognition is an essential demographic tool. This is reflected in forensic
science, surveillance systems and targeted marketing applications. This research was …

Classification is of great importance in the field of image processing, and convolutional
neural networks (CNNs) have achieved great success in this field. Although CNN has …

Based on optical image enhancement, this paper uses convolutional neural network to
detect key points of swimming posture. In swimming posture analysis, key point detection …

The aim of this paper is to build a real-time eyeglass detection framework based on deep
features present in facial or ocular images, which serve as a prime factor in forensics …

Sign languages is a critical requirement that helps deaf people to express their needs,
feelings and emotions using a variety of hand gestures throughout their daily life. This …

Nowadays, Facial occlusion is an interesting problem. It strongly affects the efficiency of the
face recognition systems. This work is based on human face analysis to extract three types …

This paper reports steps in probing the artistic methods of figurative painters through
computational algorithms. We explore a comparative method that investigates the relation …

With the new and emerging usages of faster video classification and identifications of new
classes has pushed the research in this direction. Be it like similar video detection …