Road Condition Monitoring is a critical task for the management and maintenance of the
pavement network infrastructure by the authorities. In recent years, the application of …

Potholes on the road surface are a significant safety hazard and can cause severe damage
to vehicles. Identifying and repairing potholes is a challenging task that requires efficient and …

Driver distraction detection (3D) is essential in improving the efficiency and safety of
transportation systems. Considering the requirements for user privacy and the phenomenon …

Effective disease management and mitigation strategies for fish diseases depend on timely
and accurate diagnosis. In recent years, artificial intelligence methods—classification …

In this study, we introduce an advanced system for sustainable pavement management that
leverages cutting-edge machine learning and computer vision techniques to detect and …

The honking events' density reflects the level of traffic noise pollution, road congestion, etc in
the urban areas. In this paper, we propose a participatory sensing based traffic honk …

Road accident detection and prevention is one of the most challenging problems in the
research field revolving around a multitude of problems that need to be addressed. In this …

Nanomaterial-based aptasensors serve as useful instruments for detecting small biological
entities. This work utilizes data gathered from three electrochemical aptamer-based sensors …

This paper proposes a spatiotemporal architecture with a deep neural network (DNN) for
road surface conditions and types classification using LiDAR for autonomous emergency …