Proactive Radar Protection System in Shared Spectrum via Forecasting Secondary User Power Levels
Spectrum sharing in radar bands with interference forecasting for enhanced radar protection can help design proactive resource allocation solutions which can achieve […]
Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate
Spectrum occupancy prediction is a key enabling technology to facilitate a proactive resource allocation for dynamic spectrum management systems. This work focuses […]
Vision-based Fall Detection using Body Geometry?
Falling is a major health problem that causes thousands of deaths every year, according to the World Health Organization. Fall detection and […]
Fall Detection using Body Geometry in Video Sequences
According to the World Health Organization, falling of the elderly is a major health problem that causes many injuries and thousands of […]
Predicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis
The rapid increase of Internet of Things (IoT) applications and services has led to massive amounts of heterogeneous data. Hence, we need […]
Wireless Traffic Usage Forecasting Using Real Enterprise Network Data
Wireless traffic usage forecasting methods can help to facilitate proactive resource allocation solutions in cloud managed wireless networks. In this paper, we […]
LSTM-based Service Migration for Pervasive Cloud Computing
Service migration in pervasive cloud computing is important for leveraging cloud resources to execute mobile applications effectively and efficiently. This paper proposes […]