The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has
significantly increased the demand for Location-Based Services (LBS) in today's world …

This review paper provides insights into optimization strategies for Unmanned Aerial
Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning …

This paper presents an improved Teaching–Learning-Based Optimization Algorithm for
controlling a UAV swarm to achieve real-time monitoring of indoor air quality and possible …

This letter proposes an adaptive calibration scheme that integrates Ultra-Wideband (UWB)
anchor position estimation and adaptive path planning for Unmanned Aerial Vehicles …

For many applications, drones are required to operate entirely or partially autonomously. In
order to fly completely or partially on their own, drones need to access location services for …

The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …

The recent rise in the applications of advanced technologies in the sustainable design and
construction of transportation infrastructure demands an appropriate medium for their …

Unmanned aerial vehicles (UAVs) hold significant potential for various indoor applications,
such as mapping, surveillance, navigation, and search and rescue operations. However …

In recent years, Reinforcement Learning (RL) has excelled in the realm of autonomous
vehicle control, which is distinguished by the absence of limitations, such as specific training …

With the rapid advancement of the Internet of Things and the popularization of mobile
Internet-based applications, the location-based service (LBS) has attracted much attention …