Multi-source vessel automatic identification system (AIS) data gathered in the maritime
Internet of Things (IoT) system has diverse data characteristics, such as sparse satellite data …

Flexible sensors for application in various industries, including biomedicine and wearable
electronics, are frequently made using silver nanoparticle (AgNP) inks and inkjet printing …

Path planning is one of the key technologies in unmanned aerial systems. The path-
planning algorithm for UAVs in this study incorporates a three-dimensional obstacle model …

Abstract Developing 3D Convolutional Neural Networks (CNNs) for medical image
segmentation is challenging due to the limited number of available labeled medical images …

Vehicle light detection is required for important downstream safe autonomous driving tasks,
such as predicting a vehicle's light state to determine if the vehicle is making a lane change …

The collision avoidance system (CAS) is an essential system for safe driving that alerts the
driver or automatically applies the brakes in an expected situation of a vehicle collision. To …

Due to the influences of complex shore-based backgrounds, ship scale changes and
occlusions, most deep learning-based ship target detection algorithms yield false and …

The incorporation of sophisticated deep learning methods into the IoT ecosystem has great
potential for improving content categorization skills in different IoT applications. This abstract …

Object re-IDentification (reID) is the process of matching the same object across multiple
cameras. An approach for object reID is crucial for identifying objects like people, cars …