Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Abstract: Deep neural networks (DNNs) have shown significant progress in many application fields. However, overfitting remains a significant challenge in their development. While existing ...
X-ray computed tomography (CT) is widely used in clinical practice for screening and diagnosing patients, as it enables the acquisition of high-resolution images of internal tissues and organs in a ...
ABSTRACT: Delirium is a common yet critical condition among Intensive Care Unit (ICU) patients, characterized by acute cognitive disturbances that can lead to severe complications, prolonged hospital ...
Abstract: Tomographic synthetic aperture radar (TomoSAR) shows great potential for high-quality 3-D mapping, especially in urban areas. As TomoSAR reconstruction methods advance into the deep learning ...
Weight decay and ℓ2 regularization are crucial in machine learning, especially in limiting network capacity and reducing irrelevant weight components. These techniques align with Occam’s razor ...
From worms with squid-like tentacles to fish with teeth on their tongues, here are some of the most alien-looking creatures in the deep ocean. When you purchase through links on our site, we may earn ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback