Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

The Terahertz (THz) band (0.3-3.0 THz), spans a great portion of the Radio Frequency (RF)
spectrum that is mostly unoccupied and unregulated. It is a potential candidate for …

The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

Aiming at life-cycle condition monitoring of high-strength bolt connections, a physics-guided
deep learning framework integrating supervised and unsupervised learning was developed …

Accurate and reliable prediction of the battery capacity degradation is vital for predictive
health management. This paper proposes a novel framework to improve the accuracy and …

To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …

Integrated Sensing And Communication (ISAC) has been recognized as a promising
technology in the 6G communication. A realistic channel model is a prerequisite for …

With the commercialization of fifth generation networks worldwide, research into sixth
generation (6G) networks has been launched to meet the demands for high data rates and …

Maturity level-based classification system plays an essential role in the design of tomato
harvesting robot. Traditional knowledge-based systems are unable to meet the current …

This paper investigates a channel estimator based on Gaussian mixture models (GMMs) in
the context of linear inverse problems with additive Gaussian noise. We fit a GMM to given …