In this paper, we discuss our proposed unified approach to iris recognition called the
SwinIris. This approach works efficiently when combing a tuned version of the original Swin …

Iris recognition, a precise biometric identification technique, relies on the distinct epigenetic
patterns within the iris. Existing methods often face challenges related to segmentation …

The solution to the problem of identifying objects in the IoT ecosystem of the Aral region is
analyzed. The problem of constructing a correct algorithm with linear closure operators of a …

A system that recognizes the iris is susceptible to presentation attacks (PAs), in which a
malicious party shows artefacts such as printed eyeballs, patterned contact lenses, or …

Failure to diagnose and treat retinal illnesses on time might lead to irreversible blindness.
The focus is on three common retinal lesions associated with diabetic retinopathy (DR) …

The data is used for the recognition of facial features including database and sensor images
but a problem occurs with the difficult facial looks, lighting effects, and the intricacy of an …

Sentiment analysis is a tool to identify and measure the emotion in a piece of text. Negation
handling is an important aspect of natural language processing (NLP) for Twitter data. It is a …

Iris recognition has become a popular method for authentication due to its high accuracy,
non-invasiveness, and resistance to spoof attacks. Deep learning techniques have …

This paper introduces a comprehensive iris recognition system that integrates deep
learning, clustering techniques, and a custom-designed dense layer architecture to address …