UAVs, commonly known as drones, are increasingly utilized in various fields such as military
operations, surveillance, agriculture, and delivery services. Given their expanding roles …

In dynamic and resource-constrained Tactical Edge Network (TEN) environments, where
Denied, Disrupted, Intermittent, and Limited Impact (DDIL) conditions prevail, a tailored …

In recent years, the cost-effectiveness and versatility of Unmanned Aerial Vehicles (UAVs)
have led to their widespread adoption in both military and civilian applications, particularly …

Drone-based applications involving real-time video analytics are emerging to serve diverse
situational awareness use cases ranging from precision agriculture to disaster response …

The use of lightweight drones has surged in recent years across both personal and
commercial applications, necessitating the ability to conduct live video analytics on drones …

The increasing reliance on drone swarms for various applications necessitates robust real
time anomaly detection mechanisms to ensure operational security and efficiency …

The use of UAVs in various domains is continuously increasing. The advantages of UAVs
provide to ability to facilitate functionalities or perform activities such as search and rescue …

Effective training in Machine Learning and Deep Learning models necessitates datasets that
provide sufficient patterns and contextual information, particularly crucial in IoT networks …

Abstract Unmanned Aerial Vehicles (UAVs), or drones with cameras, are crucial for
environmental awareness in applications like smart agriculture, border security, and disaster …

The focus of this chapter is on using unmanned aerial vehicles (UAVs) to assist the
agriculture sector in monitoring land for the presence of parasites that might cause damage …