COVID-19 pandemic has rapidly increased health crises globally and is affecting our day-to-
day lifestyle. A motive for survival recommendations is to wear a safe facemask, stay …

Eye tracking is one of the most useful but underutilized technologies in today's world. It can
be used in a variety of ways now that the technology is available. We propose an …

Latent disease is an infection illness which is not possible to reveal symptoms but resides
health for a long period of time. In this work, proposed a novel model named a new …

The contagious illness known as COVID-19 made wearing a mask an essential part of daily
life. Mask-covered faces cannot be detected by the current eye detection methods. Many …

Coronavirus is a large family of viruses known to cause diseases ranging from the common
cold to more serious diseases, and the methods for controlling epidemics of such viruses are …

The manual recognition of observed items from the records, which takes a long time. We
suggest a neural network approach to classify apple defects. Due to the various fruit …

Contaminated water released from factories and other sources leads to the production of
harmful bacteria, which at a later stage could lead to dangerous diseases. Classification and …

Rice leaf disease detection is a crucial task in agriculture to ensure the health and
productivity of rice crops. Traditional methods of disease identification are time-consuming …

Security is the primary objective for everyone who merits it. Biometric verification is a
significant part of banking, societal, and law prosecution security systems. It is essential to …

Eye tracking is a developing topic of study that has made significant contributions to the
medical world. Main aim of this work is to make use of eye tracking and contribute to the …