Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

In this paper, an extensive review for objects and drones (AUVs) detection and tracking is
presented. The article presents state of the art methods used in detection and tracking of …

In Drone-vs-Bird Detection Challenge in conjunction with the 4th International Workshop on
Small-Drone Surveillance, Detection and Counteraction Techniques at IEEE AVSS 2021, we …

This paper presents the 4-th edition of the “drone-vs-bird” detection challenge, launched in
conjunction with the the 17-th IEEE International Conference on Advanced Video and Signal …

Drones are becoming increasingly popular not only for recreational purposes but also in a
variety of applications in engineering, disaster management, logistics, securing airports, and …

Drones are commonly used in numerous applications, such as surveillance, navigation,
spraying pesticides in autonomous agricultural systems, various military services, etc., due …

Deep neural networks (DNNs) have become a relevant subject in the classification of radio
frequency signals and remote sensing data. A primary challenge is a tradeoff between …

The increasing misuse of drones poses significant safety and security risks, including illegal
transportation of prohibited goods, interference with manned aircraft, and threats to public …

The growing need for wireless communication has resulted in the widespread usage of
unmanned aerial vehicles (UAVs) in a variety of applications. Designing a routing protocol …

Recent advances in deep learning make it possible to implement neural network
architecture fitted to the task. In this paper we present new deep neural network model …