Abstract: DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Introduction: The intelligent detection and counting of maize seedlings constitute crucial components in future smart maize cultivation and breeding. However, the detection of maize seedlings in field ...
The final, formatted version of the article will be published soon. Mobile robots, such as drones, rovers, and autonomous ground units, are becoming more crucial for inspecting, monitoring, and ...
Abstract: With the rapid advancement of deep learning (DL) technology, data-driven fault diagnosis methods, particularly those that leverage convolutional neural networks (CNNs) for feature extraction ...
Pancreatic neuroendocrine neoplasms (PNENs) are a rare form of cancer that affects hormone-producing cells in the pancreas. Although uncommon, their incidence has been rising steadily over the past ...