X-ray image analysis is primarily performed by medical specialists. Patients expect a correct
interpretation of these images regardless of cost. Despite various advantages of chest …

In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

Recommender systems (RS) are substantial for online shopping or digital content services.
However, due to some data characteristics or insufficient historical data, may encounter …

Abstract Cyber-Physical Systems (CPS) are integral components of modern, interconnected
environments, playing a crucial role in various applications such as smart infrastructure and …

The recommendation system can alleviate the problem of “information overload”, tap the
potential value of data, push personalized information to users in need, and improve …

This paper introduces a frequent pattern mining framework for recommender systems
(FPRS)-a novel approach to address the items' cold-start problem. This difficulty occurs …

Web service recommender systems have a fundamental role in the selection, composition
and substitution of services. Indeed, they are used in several application areas such as Web …

With the growing number of Web services, it becomes more difficult for users to choose the
best ones that meet their needs and get the best quality of service (QoS). Many times, a user …

With the colossal volume of information on the Internet, it is becoming more and more
difficult for users to find the desired information quickly and easily. To surmount this problem …

The incorporation of Machine Learning (ML) and Artificial Intelligence (AI) into Cyber-
Physical Systems (CPS) promises to revolutionize their capabilities, enabling autonomous …