The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …

Class imbalance is a significant study problem that is biased, exhibiting excellent
performance toward the majority classes in the dataset while showing inferior performance …

Zero-Touch Deterministic Industrial Machine-to-Machine (ZT-DI-M2M) serves as a
customized communication solution designed to meet the specific needs of industrial …

The widespread implementation of Artificial Intelligence (AI) has led to significant
advancements in disease diagnosis. Personalized Federated Learning (FL) trains models …

Driven by the accelerated convergence of artificial intelligence (AI) and the Internet of Things
(IoT), the recent years have witnessed the booming of Artificial Intelligence of Things (AIoT) …

In today's world, it is the best opportunity for an individual to beat the inflation effects and
accumulate wealth for various life goals. But the problem comes down to the risks related to …

This paper concerns the novel concept of an Interactive Dynamic Intelligent Virtual Sensor
(IDIVS), which extends virtual/soft sensors towards making use of user input through …

The medical sector has continually advanced in recent years. The integration of medical
services with a centralized system, on the other hand, is effective in enhancing people's lives …

With the increase in mortality rate around the world in recent years, cardiovascular diseases
(CVD) have swiftly become a leading cause of morbidity, and therefore there arises a need …

In our evolving world, human vulnerability to diseases remains a critical concern, with an
overwhelming volume of health data generated by applications. Managing this massive and …