Occupational accident rates in construction projects are usually higher than other industries
in most countries, even though safety management systems are continuously improving …

Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …

The increasing amount of traffic in recent years has led to increasingly complex network
problems. To be able to improve overall network performance and increase network …

As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

Chaos prediction of nonlinear system is of great significance for proposing control strategies
early. On the other hand, echo state network (ESN) as an artificial neural recursive network …

The 21st century is a high-tech information era in which our lives are closely linked by
computer networks. Hence, how to effectively supervise networks and reduce the frequency …

In an urban environment, the accurate prediction of congestion levels is a prerequisite for
formulating traffic demand management strategies reasonably. Current traffic forecasting …

Network traffic is a typical nonlinear time series. As such, traditional linear and nonlinear
models are inadequate to describe the multi-scale characteristics of traffic, thus …

Information regarding the current status of urban green space is crucial for urban land‐use
planning and management. This study proposes a remote sensing and data‐driven solution …

The objective of this study is to develop an accurate model for corridor‐level travel‐time
estimation. Different approaches, such as k‐nearest neighbour (k‐NN), gradient boosting …