With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …

This extensive review examines sarcopenia, a condition characterized by a loss of muscle
mass, stamina, and physical performance, with a particular emphasis on its detection and …

Abstract Artificial Neural Network (ANN) is an effective machine learning technique for
addressing regression tasks. Nonetheless, the performance of ANN is highly dependent on …

Purpose In this study, the authors seek to introduce ways that show that in the age of artificial
intelligence (AI), selective dissemination of information (SDI) performance can be greatly …

Complex networks necessitate the identification of key nodes owing to their ubiquity across
the network. Traditional methodologies, such as machine learning-based and centrality …

The metaverse, constructed through digital technology, serves as a virtual realm intertwining
with reality. Within this context, the challenge of evaluating data from diverse sources arises …

Abstract Background: Social Network Analysis is a prominent field of research that captures
the attention of numerous data mining expert. Social networks are visualized as network …

The rise of the digital economy and e-commerce has fostered a movement towards efficient
low-resource medical information processing, a trend that holds great importance in the …

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

Liver diseases have emerged as a growing concern in modern times, encompassing various
disorders that can harm the liver and impede its function. The employment of data …