Object Detection is the task of classification and localization of objects in an image or video.
It has gained prominence in recent years due to its widespread applications. This article …

This review comprehensively investigates the current state and emerging trends of
autonomous vehicle terrain detection and segmentation. By systematically reviewing …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …

Abstract Machine Learning (ML) is integrated into a growing number of systems for various
applications. Because the performance of an ML model is highly dependent on the quality of …

Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

Urban hydrological monitoring is essential for analyzing urban hydrology and controlling
storm floods. However, runoff monitoring in urban areas, including flood inundation depth, is …

An enormous amount of sensing devices (scalar or multimedia) collect and generate
information (in the form of events) over the Internet of Things (IoT). Present research on IoT …

In this study, we propose a random crop** augmentation (RCA) based on an optimized
YOLOv8 algorithm by introducing a tiny object detection layer to improve the accuracy of …

Traffic flow analysis is fundamental for urban planning and management of road traffic
infrastructure. Automatic number plate recognition (ANPR) systems are conventional …