The burden of illicit drug use and terrorism has become a significant health and social problem in many developing countries. Illicit drug use and terrorism have negatively affected the economy and development of some nations because the death rate due to these two phenomena is increasing daily,...

Technology application in healthcare is a recent field devoted to sustainability in the healthcare industry. However, research in this sector has grown at a rapid pace. While this expansion has been advantageous for the discipline, it has also made it more difficult to grasp its extent. As a...

Integrating digitalization and warehouse management systems (WMS) is a crucial aspect of enhancing supply chain performance for strategic competitiveness. Multiple technologies promote digital development and supply chain management (SCM) transformation. They include artificial intelligence and...

Surface Electromyography (sEMG) is a technique for measuring muscle activity by recording electrical signals from the surface of the body. It is widely used in fields such as medical diagnosis, human-computer interaction, and sports injury rehabilitation. The detection of the onset and offset of...

Executing complex and time-sensitive operations has become difficult due to the increased acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result in problems with power consumption and lag time. The fog computing layer is a distributed computing option that...

Breast cancer is a major health issue for women all over the world. Effective care and better patient outcomes depend on early identification and precise risk prediction. Ensemble learning algorithms and merging large data have recently emerged as potential ways to predict and classify breast...

E-commerce technologies are increasingly adopted and used because they give companies a competitive edge and boost their profitability through access to international markets. Even though global e-commerce has grown over the past few years, many consumers lack confidence in e-commerce purchases....

Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...

This study addresses the challenges associated with optimal power flow (OPF) management in hybrid power systems incorporating diverse energy sources, particularly focusing on the unpredictability of renewable energy sources (RESs). A novel analytics approach is introduced using Multi-Objective...

This study explores the biological behaviour of the Monkeypox disease using a fractal-fractional operator. We discuss the existence and uniqueness of the solution of the model using the fixed-point concept. We further show that the Monkeypox fractal-fractional model is stable through the...