To alleviate the impact of insufficient labels in less-labeled classification problems, self-supervised learning improves the performance of graph neural networks (GNNs) by focusing on the information of unlabeled nodes.However, none of the existing self-supervised pretext tasks perform optimally on different datasets, and the choice of hyperparame
Objectives Warships will be attacked by missiles or shells when carrying out combat tasks, and armor piercing damage identification has certain characteristics, so it is of great significance to study this specific area.Methods Taking the stiffened plate structure which commonly exists in ships as the research object, a probability neural network (
Deep learning methods have recently made substantial advances in polarimetric synthetic aperture radar (PolSAR) image classification.However, supervised training relying on massive labeled samples is one of its major limitations, especially for PolSAR images that are hard to manually annotate.Self-supervised learning (SSL) is an effective solution
Hierarchical porous carbon foam, using liquid foam as soft template and water-soluble phenolic resin as carbon source and isocyanate as curing agent, was fabricated by microwave activation method.The structure and electrochemical properties of the carbon foam were characterized.The results show cartoon martian with big head that the microwave activ
Ultrasound and photoacoustic imaging are emerging as powerful tools to study brain structures and functions.The skull introduces significant distortion and attenuation of the ultrasound signals deteriorating read more image quality.For biological studies employing rodents, craniotomy is often times performed to enhance image qualities.However, cran