Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

The recent wave of digitalization is characterized by the widespread deployment of sensors
in many different environments, eg, multi-sensor systems represent a critical enabling …

E-commerce system has become more popular and implemented in almost all business
areas. E-commerce system is a platform for marketing and promoting the products to …

With the rapid development of the air transportation industry, air traffic is facing a severe test.
The accurate prediction of the estimated arrival time (EAT) plays an important role in rational …

Supply chains must adopt an appropriate mechanism to deal with interrelated risks.
Sustainable development's economic, environmental and social aspects are critical …

This paper investigates the long-term average age of information (AoI)-minimal problem in
an unmanned aerial vehicle (UAV)-assisted wireless-powered communication network …

This paper proposes a novel approach for facility location by integrating machine learning
techniques with a risk-averse framework, using the kmeans algorithm. Traditional facility …

This paper presents a machine learning approach using the k-means clustering algorithm to
identify optimal locations for retailers. The study aims to leverage geographic, demographic …

The abuse of drones has raised critical concerns about public security and personal privacy,
bringing an urgent requirement for drone recognition. Existing radio frequency (RF)-based …

Reliable and economic operation of transmission systems is one of the most onerous
problems faced by the grid operators as a penetration rate of wind energy is on rise. It is a …