Detecting potholes and traffic signs is crucial for driver assistance systems and autonomous
vehicles, emphasizing real-time and accurate recognition. In India, approximately 2500 …

Abstract The Internet of Things (IoT) is essential in several Internet application areas and
remains a key technology for communication technologies. Shorter delays in transmission …

The development and rise in Artificial Intelligence (AI) applications including Intelligent
Transport System (ITS) has significantly reshaped and transformed. A key research area that …

Nowadays, data are more and more used for intelligent modeling and prediction, and the
comprehensive evaluation of data quality is getting more and more attention as a necessary …

Video frame interpolation is particularly challenging when dealing with large and non-linear
object motions, often resulting in poor frame quality and motion artifacts. In this study, we …

Traffic violations occur due to driving or behavioral issues that result in traffic offense and
violate the law. Traffic violations such as running red lights, speeding, and reckless driving …

The explosion of video content online makes finding specific information a challenge.
Existing key frame extraction methods struggle to keep up with the variety of video formats …

Currently, video surveillance is generally used to safeguard safety in public places like
railway stations, traffic signals, malls, and so on. Video anomaly recognition and localization …

Image and video processing have been widely used to provide traffic parameters, which will
be used to improve certain areas of traffic operations. This research aims to develop a model …

Purpose Multi-domain convolutional neural network (MDCNN) model has been widely used
in object recognition and tracking in the field of computer vision. However, if the objects to be …