The volume and availability of data in the Intelligent Transportation System (ITS) result in the
need for data-driven approaches. Big Data algorithms are applied to further enhance the …

Passenger detection and occupancy estimation are vital tasks in many fields. The existing
literature emphasises that the increasing demand for such systems will continue to grow …

Countries the world over have focused on protecting human health and combatting the
COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many …

This paper focuses on addressing the urgent need for efficient and accurate automated
screening tools for COVID-19 detection. Inspired by existing research efforts, we propose …

Safe driving and minimizing the number of casualties are the main motivations of
researchers and car companies for decades. They also care very much on saving fuel …

For the purpose of automatic wear debris classification, a hybrid convolution neural network
(CNN) is used with transfer learning (TL) and support vector machine (SVM) to identify four …

The increase in the size of the city and the increase in population mobility have greatly
increased the number of vehicles on the road, and at the same time brought considerable …

The pantograph–catenary system is crucial to the transmission of electrical power from
catenary lines to electrified trains. The occurrence of arcs could damage or interrupt railway …

In order to intelligently classify magnetic flux leakage signals, this study proposes a method
of magnetic flux leakage image classification based on sparse self-coding. With inputting …

Increasing the number of personal cars on the transportation routes causes a heavy traffic
load. In many countries, special lines for high occupancy vehicles have been developed to …