A smart device carries a great amount of sensitive patient data as it offers innovative and
enhanced functionalities in the smart healthcare system. Moreover, the components of …

Biometric authentication is gaining the interest of private, public, consumer electronics and
corporate security systems. For the protection of cyberspace from hackers and other harmful …

This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …

Skin cancer is one of the most common diseases that can be initially detected by visual
observation and further with the help of dermoscopic analysis and other tests. As at an initial …

The healthcare fraud detection field is constantly evolving and faces significant challenges,
particularly when addressing imbalanced data issues. Previous studies mainly focused on …

For changing semantics, ontological and information presentation, as well as computational
linguistics for Asian social networks, are one of the most essential platforms for offering …

Focus on predictive algorithm and its performance evaluation is extensively covered in most
research studies to determine best or appropriate predictive model with Optimum prediction …

This paper proposes a new method that can identify and predict financial fraud among listed
companies based on machine learning. We collected 18,060 transactions and 363 …

With the rapid development of mobile medical care, medical institutions also have the
hidden danger of privacy leakage while sharing personal medical data. Based on the k …

According to the benefits in safeguarding and transferring medical information, illness
assessment, evaluation of “Magnetic Resonance Map**” images, and certain other …