Data augmentation on fault diagnosis of wind turbine gearboxes with an enhanced flow-based generative model
Deep learning-based fault diagnosis has been rapidly applied in recent years. However,
datasets under the normal condition can be easily obtained rather than the faulty datasets …
datasets under the normal condition can be easily obtained rather than the faulty datasets …
Local differential privacy image generation using flow-based deep generative models
Diagnostic radiologists need artificial intelligence (AI) for medical imaging, but access to
medical images required for training in AI has become increasingly restrictive. To release …
medical images required for training in AI has become increasingly restrictive. To release …
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low …
Ultra sparse-view computed tomography (CT) algorithms can reduce radiation exposure of
patients, but those algorithms lack an explicit cycle consistency loss minimization and an …
patients, but those algorithms lack an explicit cycle consistency loss minimization and an …
Aging prediction using deep generative model toward the development of preventive medicine
From birth to death, we all experience surprisingly ubiquitous changes over time due to
aging. If we can predict aging in the digital domain, that is, the digital twin of the human …
aging. If we can predict aging in the digital domain, that is, the digital twin of the human …