LoRaWAN-Enabled Smart Campus: The Dataset and a People Counter Use Case
Smart Campus is one of the essential use cases in the Internet of Things (IoT). This work describes a LoRaWAN-based smart campus […]
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks
Source traffic prediction is one of the main challenges of enabling predictive resource allocation in machine-type communications (MTC). In this paper, a […]
Age of Information-Aware Radio Resource Management in Vehicular Networks
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a […]
Dense prediction for micro-expression spotting based on deep sequence model
Micro-expression (ME) analysis has been becoming an attractive topic recently. Nevertheless, the studies of ME mostly focus on the recognition task while […]
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features
Automatically generating a summary of a sports video poses the challenge of detecting interesting moments, or highlights, of a game. Traditional sports […]