5 papers
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
Shibo Zhou, Xiaohua Li
Spiking neural network (SNN) is interesting due to its strong bio-plausibility and high energy efficiency. However, its performance is falling far behind conventional deep neural n…
HODET: Hybrid Object DEtection and Tracking using mmWave Radar and Visual Sensors
Joseph St. Cyr, Joshua Vanderpool, Yu Chen +1
Image sensors have been explored heavily in automotive applications for collision avoidance and varying levels of autonomy. It requires a degree of brightness, therefore, the use o…
A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study
Qi Dong, Yu Chen, Xiaohua Li +1
Efficient utility of radio spectrum has been a hot topic as the wireless communication spectrum is a precious resource. The past decade has witnessed intensive research in spectrum…
Explore Recurrent Neural Network for PUE Attack Detection in Practical CRN Models
Qi Dong, Yu Chen, Xiaohua Li +1
The proliferation of the Internet of Things (IoTs) and pervasive use of many different types of mobile computing devices make wireless communication spectrum a precious resource. I…
An Adaptive Primary User Emulation Attack Detection Mechanism for Cognitive Radio Networks
Qi Dong, Yu Chen, Xiaohua Li +1
The proliferation of advanced information technologies (IT), especially the wide spread of Internet of Things (IoTs) makes wireless spectrum a precious resource. Cognitive radio ne…