Corrosion is an undesirable phenomenon resulting in material deterioration and
degradation through electrochemical or chemical reactions with the surrounding …

To explore the application of neural network algorithm model in lung cancer imaging, and
provide reference for the application and development of artificial neural network (ANN) …

Iris recognition is a robust biometric system—user-friendly, accurate, fast, and reliable. This
biometric system captures information in a contactless manner, making it suitable for use …

Iris recognition is one of the non-contact biometric identification methods that are hygienic
and highly accurate. Iris recognition involves using iris images obtained by a near-infrared …

One of the most common and successful biometric frameworks is iris recognition, which has
yielded promising results in systems of access control and identity authentication. Recent …

Iris segmentation is a process to isolate the accurate iris region from the eye image for iris
recognition. Iris segmentation on non-ideal and noisy iris images is accurate with active …

With the development of iris biometrics, the pupil recognition method is widely used in the
fields of identity recognition and so on. Most traditional iris recognition algorithms use an …

The purpose is to explore the effect of iris image acquisition and real-time detection systems
based on Convolutional Neural Network (CNN) and improve the efficiency of iris real-time …

This paper proposes a deep feature extractor for iris recognition at arbitrary resolutions.
Resolution degradation reduces the recognition performance of deep learning models …

Alzheimer's disease indicates one of the highest difficult to heal diseases, and it is acutely
affecting the elderly normal lives and their households. Early, effective, and accurate …