Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …

Electroluminescence (EL) imaging has become the standard test procedure for defect
detection throughout the production, installation and operation stages of solar modules …

The presence of various maize plant leaf diseases has significantly decreased both the
quality and quantity of crop production. In order to take the appropriate steps to prevent the …

Autonomous driving is the future of the automotive industry across the globe. Many
challenges must be resolved in designing and developing successful Autonomous Driving …

In the last decade, small unmanned aerial vehicles (UAVs/drones) have become
increasingly popular in the airborne observation of large areas for many purposes, such as …

Building rooftop segmentation using deep learning techniques is a popular yet challenging
area of research in computer vision and remote sensing image processing. While recent …

The deployment of machine learning for image crack detection requires model robustness
via an adaptive generalisation to unprecedented scenarios. Eg, in masonry, backgrounds …

The growing use of deep neural networks (DNNs) in various applications has raised
concerns about the security and privacy of model parameters and runtime execution. To …

For eye state recognition (closed or open), a mechanism based on deep convolutional
neural network (DCNN) using the Zhejiang University (ZJU) and Closed Eyes in the Wild …

Abstract Human-Robot Interaction (HRI) constitutes a demanding research field that
integrates artificial intelligence, informatics, robotics, engineering, and human-machine …