Abstract: Unmanned aerial vehicles (UAVs) have become essential tools in photovoltaic (PV) defect detection. However, traditional convolutional neural network (CNN) models often experience significant ...

Abstract: Synthetic aperture radar (SAR) is a vital technology for ship detection due to its ability to capture high-resolution remote sensing images. However, traditional detection methods often ...

As shown below, the inferred masks predicted by our segmentation model trained on the Augmented dataset appear similar to the ground truth masks. This dataset was collected using a ZED stereo camera.

A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...