Abstract: In this article, we evaluate the ability of three algorithms (k-Nearest Neighbors (kNN), Partial Least Squares Discriminant Analysis (PLSDA), and K-means Clustering) to detect spectrum holes ...
Abstract: The increasing use of unmanned aerial vehicles (UAVs) highlights the need for robust classification systems. This study explores the impact of noise on UAV classification accuracy using ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...