Artificial intelligence (AI) and its data-driven counterpart, machine learning (ML), are rapidly
evolving disciplines with increasing applications in modeling, simulation, control, and …

This paper proposes a novel ship energy systems (SESs) benchmarking model for
performance measurement of sustainable transportation based on the extension of q-rung …

Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …

Intelligent vehicles can effectively improve traffic congestion and road traffic safety. Adaptive
cruise following-control (ACFC) is a vital part of intelligent vehicles. In this paper, a new …

Detecting faults in high-speed and high-power diesel engines under complex variable
operating conditions is highly challenging. Online vibration monitoring systems have been …

In this paper, two non-singleton interval type-2 fuzzy PID (NIT2F-PID) controllers for the high
precision electro-optical tracking system (ETS) are presented to improve anti-interference …

Model nonlinearity, structured and unstructured uncertainties as well as external
disturbances are some of the most important challenges in controlling the wheel slip in …

This study presents the development of a grey-box modelling approach and fuzzy logic
control for real time trajectory control of an experimental four degree-of-freedom Leader …

Oversampling is a popular yet useful method to fulfill the binary classification of imbalanced
data, however many existing results of oversampling are very likely to generate …

Researchers working in the field of unmanned aerial vehicles are observing rapid
developments in the field, such as the use of quadrotors to grasp, manipulate, and transport …