Masked face recognition using deep learning: a review

A large number of intelligent models for masked face recognition (MFR) has been recently presented and applied in various fields, such as masked face tracking for people safety or secure authentication. Exceptional hazards such as pandemics and frauds have noticeably accelerated the abundance of relevant algorithm creation and sharing, which has introduced new challenges. Therefore, recognizing and authenticating people wearing masks will be a long-established research area, and more efficient methods are needed for real-time MFR. Machine learning has made progress in MFR and has significantly facilitated the intelligent process of detecting and authenticating persons with occluded faces. This survey organizes and reviews the recent works developed for MFR based on deep learning techniques, providing insights and thorough discussion on the development pipeline of MFR systems. State-of-the-art techniques are introduced according to the characteristics of deep network architectures and deep feature extraction strategies. The common benchmarking datasets and evaluation metrics used in the field of MFR are also discussed. Many challenges and promising research directions are highlighted. This comprehensive study considers a wide variety of recent approaches and achievements, aiming to shape a global view of the field of MFR

Knowledge and Attitudes of Jordanian University Students Toward Epilepsy: A Cross-Sectional Comparison Study

People with epilepsy face stigma which arguably causes more suffering than the disease itself. The purpose of this study is to compare the knowledge and attitudes of nursing with nonnursing Jordanian university students toward epilepsy. A cross-sectional comparative, quantitative study was conducted. A newly structured questionnaire was developed to collect related data. The results revealed that there were 145(30.5%) nursing students and 331 (69.5%) nonnursing students with mean age of the participants was 22.9 years (SD = 4.7) and 60% of them were men. Although the majority of the Jordanian university students were aware of epilepsy, their knowledge varied according to their major subject of study. Nursing students possessed a good knowledge of, and more positive attitudes toward, epilepsy compared with other nonnursing students. Therefore, universities are required to improve the knowledge of their students about epilepsy by integrating education about health and first aid course into their curriculum