This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …

To improve the tracking accuracy of moving targets in Non-Line-of-Sight (NLOS)
environments and reduce positioning errors, a hybrid TDOA/AOA positioning method is …

A dandelion algorithm (DA) is a recently developed intelligent optimization algorithm for
function optimization problems. Many of its parameters need to be set by experience in DA …

Feature selection (FS) is an important data preprocessing technology for machine learning
and data mining. Metaheuristic algorithm (MH) has been widely used in feature selection …

In an intelligent transportation system, accurate traffic flow prediction can provide significant
help for travel planning. Even though some methods are proposed to do so, they focus on …

In recent years, swarm intelligence optimization methods have been increasingly applied in
many fields such as mechanical design, microgrid scheduling, drone technology, neural …

Background Improvement on the updating equation of an algorithm is among the most
improving techniques. Due to the lack of search ability, high computational complexity and …

In this study, we introduce a novel approach to the parameter estimation of Unmanned
Aerial Vehicles (UAVs) utilizing the dandelion algorithm, a bio-inspired optimization …