Automatic identity recognition from ear images is an active research topic in the biometric
community. The ability to secretly acquire images of the ear remotely and the stability of the …

Cooperative machine learning has many applications, such as data annotation, where an
initial model trained with partially labeled data is used to predict labels for unseen data …

This paper presents ear recognition models constructed with Deep Residual Networks
(ResNet) of various depths. Due to relatively limited amounts of ear images we propose …

The successful deployment of an Intrusion Detection System (IDS) in the Internet of Things
(IoT) is subject to two primary criteria: the detection method and the deployment strategy …

X-ray image analysis is primarily performed by medical specialists. Patients expect a correct
interpretation of these images regardless of cost. Despite various advantages of chest …

In recent years, palmprint recognition has gained increased interest and has been a focus of
significant research as a trustworthy personal identification method. The performance of any …

In recent years, biometric recognition patterns have attracted the attention of many
researchers, among which human ears, as a unique and stable biometric feature, have …

Accurate segmentation of brain tumours images is crucial for diagnosis, treatment planning,
and monitoring of disease progression. However, acquiring sufficient medical imaging data …

Accurate retinal vessel segmentation from eye fundus images is a major challenge in
automated methods. U-Net has been widely used in medical image segmentation, and its …

Applications for facial recognition have eased the process of personal identification.
However, there are increasing concerns about the performance of these systems against the …