Chunbo Luo

The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example

2021 · arXiv (Cornell University)

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 networks are more powerful than simpler statistical models, …

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

2021 · arXiv (Cornell University)

Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (DL) research has facilitated high-performance DL-AMR approaches. However, most DL-AMR models only focus …