Sixth-generation (6G) mobile networks will have to cope with diverse threats on a space-air-
ground integrated network environment, novel technologies, and an accessible user …

The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

The wide diffusion of wearable sensors and mobile devices encouraged the study of
biometric recognition techniques that require a low level of cooperation from users. Among …

Biometric authentication methods have gained prominence as secure and convenient
alternatives to traditional passwords and PINs. In this paper, we propose a novel approach …

Biometric authentication is a widely used method for verifying individuals' identities using
photoplethysmography (PPG) cardiac signals. The PPG signal is a non-invasive optical …

User authentication has become necessary in different life domains. Traditional
authentication methods like personal information numbers (PINs), password ID cards, and …

Graph embedding is an effective method for deriving low-dimensional representations of
graph data. The power of graph deep learning methods to characterize …

Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …

In this study, an ensemble model of U-Net and artificial neural network (ANN) is developed
for electrocardiogram (ECG)-based human identification. This study specifically presents the …

The monitoring of hemodynamic parameters, such as heart rate and blood pressure,
provides valuable indications of overall cardiovascular health. It is preferable that such …