Current train delay prediction systems do not take advantage of state-of-the-art tools and
techniques for handling and extracting useful and actionable information from the large …

Current train delay (TD) prediction systems do not take advantage of state-of-the-art tools
and techniques for handling and extracting useful and actionable information from the large …

The focus of this study was to conduct statistical analysis on primary delays in Wuhan–
Guangzhou high-speed railway (HSR). The main statistics of primary delays were …

With the rapid development of sensing technology, Cyber-Physical Systems (CPS) are
connecting our real-world and cyber spaces by real-time situation awareness and intelligent …

Safety is the most important aspect of railway transportation. To ensure the safety of high-
speed trains, various train components are equipped with sensor devices for real-time …

As the proportion of time spent by humans in indoor environment increases, it becomes
challenging to maintain good air quality for healthy and productive life. The need to develop …

The uncertainties of IoT-edges system and environment make challenges to applications in
reliability, stability, and total latency, etc. With edge devices increasingly able to connect to …

Recognizing complex events revealed by raw data is an increasingly crucial task that serves
as one of the foundations for system monitoring and decision-making. Our goal is to …

In recent years, maritime traffic has increased dramatically. Some ships exhibit abnormal
behavior, which may indicate different dangers or threats. The speed and position …

Quickly detecting related primitive events for multiple complex events from massive event
stream usually faces with a great challenge due to their single pattern characteristic of the …