For time series prediction tasks, the autoregressive integrated moving average (ARIMA)
model is one of the most classical and popular linear models, and extended applications …

Abstract Machine learning (ML) methods are becoming popular in prognostics and health
management (PHM) of engineering systems due to the recent advances of sensor …

To achieve greater sustainability of the traffic system, the trend of traffic accidents in road
traffic was analysed. Injuries from traffic accidents are among the leading factors in the …

Traffic flow prediction is an integral part of an intelligent transportation system (ITS) for
proactive transportation planning and management in public transit network systems …

Time series analysis has been used extensively in transport research in various areas, such
as traffic management and transport planning. Time-series data may contain temporal and …

Perch is a relatively valuable aquatic product with high economic value. Dissolved oxygen
follows a complex, dynamic and non-linear system. To solve the problems of low prediction …

Long-term time series forecasting has received a lot of popularity because of its great
practicality. It is also an extremely challenging task since it requires using limited …

ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure
uninterrupted energy supply to support the nation's economic growth. The resilience …

Featured Application This paper addresses the practical application of unmanned aerial
vehicles (UAVs) in modern transportation systems, mainly focusing on how UAVs can be …

Secondary crashes occur within the spatial and temporal impact area of primary crashes,
resulting in traffic delays and safety problems. While most existing studies focus on the …