… deep learning approach to build neural networks for training and validation of the original
UAV … some work related to the RF fingerprint-based UAV detecting method. In general, the RF-…

… , mobility, and adaptive altitude, UAVs can act as mobile base stations … UAVs-enabled
wireless networks to deal with their challenges. Moreover, we address the suitable deep learning …

… Due to the vibrant and rapid mobility nature of UAVs, they can be generally employed in a …
fulfill the needs of 5G and beyond cellular network applications. The proposed architecture is …

… For this reason, machine learning (ML) has been widely used in overcoming the challenges
that UAV faces in mobility, … UAVs can indeed be connected to cellular networks as …

… the latter, UAV-BSs assist the existing cellular network. We then … phenomena in UAV-assisted
wireless networking to showcase … UAVs can also be used for backhauling in high mobility …

… Because of its effective mobility, elastic development, and cost-effectiveness, UAVs are
accessible … In addition, UAVs are applied as mobile relays for extending the ability and network …

… Another example comes from the smart city paradigm, where AI techniques are applied to
enhance transport in the new mobility era [15]. In addition, wireless networks may be used for …

… , we propose a deep learning-based energy optimization … that the received energy of the
mobile relay UAV is, as much as … we first introduce the UAV-aided wireless network model and …

… an ensemble deep learning approach. The contributions of this paper include: 1) Design and
evaluate ensemble learning approach for detecting malicious UAVs in restricted area using …

… Their mobility and their ability to establish line of sight (LOS) links with the users made …
UAV-based problem, as complexity may affect its feasibility. In another context, machine learning (…