In the Internet of Vehicles (IoV), the data sharing between the participating vehicles and the
roadside units (RSUs) provides intelligent ground transportation with convenience and …

Wildlife monitoring is critical for ecological study, conservation, and wildlife management,
but traditional approaches have drawbacks. The combination of unmanned aerial vehicles …

A collection of sensor nodes called a wireless sensor network is used to track and document
the physical parameters of the surrounding area. The design of network clustering …

As smart cities continue to evolve, the amount of data generated by sensors and devices has
grown exponentially, making it challenging to analyze and process these data in real time …

This chapter examines how machine learning and 5G networks interact, with a particular
emphasis on creating machine learning algorithms that can operate on devices with limited …

This chapter focuses on the enhancement of medical services through the integration of
unmanned aerial vehicle (UAV) technology and machine learning algorithms. It explores the …

This chapter explores the symbiotic relationship between AI and education, highlighting its
transformative impact and potential to bridge educational disparities. It provides insights into …

The energy efficiency of cloud computing (CC) is one of the critical and vital factors for large
server-based networks. The main challenge of CC is that it consumes high energy …