The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …

Convolutional neural networks (CNN) have been increasingly popular in image
categorization in recent years. Hyperparameter optimization is a critical stage in enhancing …

COVID-19, a novel pathogen that emerged in late 2019, has the potential to cause
pneumonia with unique variants upon infection. Hence, the development of efficient …

Medical image analysis using multiple modalities refers to the process of analyzing and
extracting information from more than one type of image in order to gain a comprehensive …

Streaming data of machines is continuously collected in practical applications, which
produces new fault information with respect to the health change. Therefore, a lifelong …

To make a more accurate diagnosis of COVID-19 we propose a straightforward yet effective
model. Firstly we analyze the characteristics of 3D CT scans and remove the non-lung parts …

The escalating healthcare costs in contemporary society have raised significant concerns.
Identifying medical risks efficiently is crucial for reducing treatment expenses and improving …

This study delves into the transformative potential of integrating big data analysis and
information sharing in innovation and entrepreneurship education. Employing a …

The world of film and TV animation has witnessed a revolutionary transformation with the
combination of Expression transfer and digital virtual Human technology. This paper delves …

The aim of the study was to develop a computerized method for distinguishing COVID-19-
affected cases from cases of pneumonia. This task continues to be a real challenge in the …