The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …

In smart cities, the fast increase in automobiles has caused congestion, pollution, and
disruptions in the transportation of commodities. Each year, there are more fatalities and …

Waste in aquatic environments devastates aquatic habitats and offers a tall environmental
and economical risk. Machine Vision might play a role in resolving this issue by detecting …

Deep Learning is a popular Machine Learning algorithm that is widely used in many areas
in current daily life. Its robust performance and ready-to-use frameworks and architectures …

The advancement in wireless telecommunication network has increase the accessibility of
more users to wireless connectivity. With the advent of the fifth-generation (5G) wireless …

Traditional machine learning algorithms are susceptible to objective factors such as video
quality and weather environment in the vehicle detection of Unmanned Aerial Vehicle (UAV) …

Vehicle identification and detection is an important part of building intelligent transportation.
Various methods have been proposed in this field, but recently the YOLOv8 model has been …

This article proposes a method for continuous bridge displacement monitoring combining
the dynamic triangulation scanning and load estimation by vehicle image recognition. The …

Object Recognition Technology has become widely applied in various field in order to
increase efficiency, security and lifestyles. One field particularly requires the utilization of …