Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …

The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

Recent studies have demonstrated that using deep-learning (DL) methods to classify drones
based on the radio-frequency (RF) signal is effective. As known, the rich and diverse data is …

Deep learning (DL)-based radio frequency fingerprint identification (RFFI), despite its state-
of-the-art capability in improving the security performance of communication networks, is still …

Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …

The increasing popularity of small drones has stressed the urgent need for an effective
drone‐oriented surveillance system that can work day and night. Herein, an acoustic and …

This paper presents a radar‐based algorithm for autonomous estimation of drone intention.
The algorithm is based on radar's kinematic measurements, providing fast and robust …

Due to recent technological advancements and significant decreases in their costs, drones
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …

In future electronic warfare (EW), there will be many unmanned aerial vehicles (UAVs)
equipped with electronic support measure (ESM) systems, which will often encounter the …