3 citations · 3 across the 3 of their papers we have counts for
6 papers
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Fuxin Zhang, Chunbo Luo, Jialang Xu +1
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (…
The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example
Marcus Carpenter, Chunbo Luo, Xiao-Si Wang
Many research papers that propose models to predict the course of the COVID-19 pandemic either use handcrafted statistical models or large neural networks. Even though large neural…
A Model-driven and Data-driven Fusion Framework for Accurate Air Quality Prediction
Haolin Fei, Xiaofeng Wu, Chunbo Luo
Air quality is closely related to public health. Health issues such as cardiovascular diseases and respiratory diseases, may have connection with long exposure to highly polluted e…
A DoA Estimation Based Robust Beam Forming Method for UAV-BS Communication
Tianxiao Zhao, Chunbo Luo, Geyong Min +4
High data rate communication with Unmanned Aerial Vehicles (UAV) is of growing demand among industrial and commercial applications since the last decade. In this paper, we investig…
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework
He Zhang, Xingrui Yu, Peng Ren +2
Intrusion detection systems (IDSs) play an important role in identifying malicious attacks and threats in networking systems. As fundamental tools of IDSs, learning based classific…
On Channel State Feedback Model and Overhead in Theoretical and Practical Views
Chunbo Luo
Channel state feedback plays an important role to the improvement of link performance in current wireless communication systems, and even more in the next generation. The feedback…