Recent deep learning-based object detectors have shown compelling performance for the
detection of large objects in autonomous driving applications. However, the detection of …

Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …

The application of optimization theory and the algorithms that are generated from it has
increased along with science and technology's continued advancement. Numerous issues …

Abstract Residual Network (ResNet) achieves deeper and wider networks with high-
performance gains, representing a powerful convolutional neural network architecture. In …

Accuracy is the vital indicator in location estimation used in many scenarios, such as
warehousing, tracking, monitoring, security surveillance, etc., in a wireless sensor network …

Node localization is an essential aspect of wireless sensor networks (WSNs). There are
mainly two types of localization algorithms used to compute the position of the node, namely …

In this article, we address the multi-unmanned aerial vehicle (UAV) deployment problem in
the presence of co-channel interference (CCI) for non-orthogonal multiple access (NOMA) …

This paper proposes a deployment and trajectory scheme for fixed-wing unmanned aerial
vehicles (UAVs) deployed as flying base stations in multi-UAV enabled non-orthogonal …

Node positioning is an essential function of wireless networks and serves as the foundation
for many applications. In the existing works, the cooperative positioning approaches have …

Unmanned aerial vehicle (UAV) communications are vulnerable to intrusion because of the
high line of sight available in the air to ground channel. To enhance security in wireless …