Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

In recent years, vehicle detection and classification have become essential tasks of
intelligent transportation systems, and real‐time, accurate vehicle detection from image and …

The accurate counting of passengers in public transport systems is crucial for optimizing
operations, improving service quality, and planning infrastructure. It can also contribute to …

Abstract Knowledge distillation techniques have been widely used in the field of deep
learning, usually by extracting valid information from a neural network with a large number of …

The expansion of technology in metropolitan centers draws people to cities, which causes
excessive traffic on the roadways during peak hours. This exacerbated the traffic situation …

Advancements in computer vision research have put transformer architecture as the state-of-
the-art in computer vision tasks. One of the known drawbacks of the transformer architecture …

Traffic density estimation can be used for controlling traffic light signals to provide effective
traffic management. It can be done in two steps: vehicle recognition and counting. Deep …

Due to urbanization, solid waste pollution is an increasing concern for rivers, possibly
threatening human health, ecological integrity, and ecosystem services. Riverine …

Numerous deaths are being reported at sites where safety helmets are important for
workers. Though these sites are usually equipped with closed circuit television (CCTV) …

Accurate and efficient image segmentation can contribute to improving the recognition rate
of surface defects for hot-rolled steel strips. However, due to its variances in shape, position …