1 citations · 1 across the 2 of their papers we have counts for
4 papers
Efficient low-thrust trajectory data generation based on generative adversarial network
Ruida Xie, Andrew G. Dempster
Deep learning-based techniques have been introduced into the field of trajectory optimization in recent years. Deep Neural Networks (DNNs) are trained and used as the surrogates of…
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier
Ruida Xie, Andrew G. Dempster
In recent years, deep learning techniques have been introduced into the field of trajectory optimization to improve convergence and speed. Training such models requires large traje…
Artificial Intelligence and Location Verification in Vehicular Networks
Ullah Ihsan, Ziqing Wang, Robert Malaney +2
Location information claimed by devices will play an ever-increasing role in future wireless networks such as 5G, the Internet of Things (IoT). Against this background, the verific…
Cross Correlation-based Direct Positioning for Wideband Sources using Phased Arrays
Joon Wayn Cheong, Andrew G Dempster
Recent developments in Phased Array direct positioning methods have improved accuracy for passively geo-locating multiple radio frequency-emitting signal sources. However, the numb…