A research team led by Professor Jiang Changlong at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Railway Technology on MSN
Rail Vision secures European patent for AI rail collision avoidance system
The company said that the protection applies in Europe and covers a system for detecting hazards on and near the tracks ahead ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
ASKAP J1832-0911, which is periodically throwing out pulses of radio waves and X-rays, could be a brand-new cosmic object. When you purchase through links on our site, we may earn an affiliate ...
The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...
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