In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

This paper reviews research in ocean engineering over the last 50+ years with the aim to (I)
understand the technological challenges and evolution in the field,(II) investigate whether …

Short-term rainfall forecasting plays an important role in hydrologic modeling and water
resource management problems such as flood warning and real time control of urban …

With the rapid development of social economy, the traffic volume of urban roads has raised
significantly, which has led to increasingly serious urban traffic congestion problems, and …

Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …

The development of Internet of Vehicles (IoV) has produced a considerable amount of real-
time traffic data. These traffic data constitute a kind of digital twin that connects the physical …

Microalgae biorefinery is a platform for the conversion of microalgal biomass into a variety of
value-added products, such as biofuels, bio-based chemicals, biomaterials, and bioactive …

Accurate traffic flow data is important for traffic flow state estimation, real-time traffic
management and control, etc. Raw traffic flow data collected from inductive detectors may be …

Accurate short-term traffic forecasts help people choose transportation and travel time.
Through the query data, many models for traffic flow prediction have neglected the temporal …

The accurate short-term passenger flow prediction is of great significance for real-time public
transit management, timely emergency response as well as systematical medium and long …