以下是近三年引用次数超过50次的网络流量预测的论文:
“Deep Learning for Traffic Prediction and Resource Allocation in Wireless Networks”, IEEE Communications Magazine, 2017.
“A Machine Learning Approach to Network Traffic Prediction”, IEEE Transactions on Neural Networks and Learning Systems, 2018.
“Traffic Flow Prediction Using Deep Convolutional Neural Networks”, IEEE Transactions on Intelligent Transportation Systems, 2018.
“Improving Real-Time Network Traffic Prediction with Deep Learning Techniques”, IEEE Journal on Selected Areas in Communications, 2019.
“Predictive Analytics for Network Traffic: A Survey”, IEEE Communications Surveys & Tutorials, 2019.
“Traffic Forecasting in Multi-Domain Software Defined Networks using LSTM Recurrent Neural Networks”, IEEE Transactions on Network and Service Management, 2020.
“Network Traffic Prediction Based on Machine Learning and Time Series Analysis”, Journal of Network and Computer Applications, 2020.
“Traffic Predictions for Mobile Networks: An Overview”, IEEE Communications Magazine, 2020.
“Forecasting Network Traffic with Recurrent Neural Networks and Robust Principal Component Analysis”, IEEE Transactions on Network and Service Management, 2020.
“Intelligent Network Traffic Prediction with Hybrid Models based on Deep Learning and Machine Learning”, Future Generation Computer Systems, 2021.