: Dynastic Data-Free Knowledge Distillation
Data-free knowledge distillation further broadens the applications of the distillation model.
Nevertheless, the problem of providing diverse data with rich expression patterns needs to …
Nevertheless, the problem of providing diverse data with rich expression patterns needs to …
Long future frame prediction using optical flow‐informed deep neural networks for enhancement of robotic teleoperation in high latency environments
High latency in teleoperation has a significant negative impact on operator performance.
While deep learning has revolutionized many domains recently, it has not previously been …
While deep learning has revolutionized many domains recently, it has not previously been …
P2 random walk: self-supervised anomaly detection with pixel-point random walk
L Hua, Q Qi, J Long - Complex & Intelligent Systems, 2024 - Springer
In the domain of intelligent manufacturing, automatic anomaly detection plays a pivotal role
and holds great significance for improving production efficiency and product quality …
and holds great significance for improving production efficiency and product quality …
Predicting risk of dementia with machine learning and survival models using routine primary care records
J Langham, D Stamate, CA Wu… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Worldwide, it is forecasted that 131.5 million people will suffer from dementia by 2050, and
the annual cost of care will increase from 818 billion USD in 2016 to 2 trillion USD by 2030 …
the annual cost of care will increase from 818 billion USD in 2016 to 2 trillion USD by 2030 …