Abstract: This research focuses on a deep learning framework for the identification of epilepsy from MRI imaging, using the benefits of CNNs and RNNs. Since epilepsy causes seizures from brain ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results