Abstract: Enhancing the generalization performance of CNN-based deep learning models for network traffic prediction requires a substantial amount of data. However, collecting large-scale network ...
(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...
Time series classification is widely used in many fields, but it often suffers from a lack of labeled data. To address this, researchers commonly apply data augmentation techniques that generate ...
Carlsmed’s aprevo implant for lumbar spine surgery had reduced complication-related reoperations compared to conventional stock devices, according to two-year data. The study, published in Global ...
In patients with lumbar spondylolisthesis complicated by osteoporosis, conventional pedicle screw internal fixation often leads to complications such as screw loosening and fixation failure due to low ...
Researchers at the University of Pittsburgh are developing wireless spinal implants with a $352,213 National Institutes of Health grant, the university said in an Oct. 27 news release. The implants ...
Breast augmentation is increasingly common in Saudi Arabia, yet little is known about its effect on breastfeeding. Given cultural norms favoring breastfeeding, understanding lactation outcomes in ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
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