The dataset used in this paper is a set of data for training and testing the neural network predictive controller for virtual synchronous generator.

Digital image based identification of rice variety using image processing and neural network.

The dataset used in this paper is a real-world task for hyperparameter optimization of a neural network.

The Phase Extraction Neural Network (PhENN) is a deep learning architecture that can be trained to recover an unknown phase object from the raw intensity measurement obtained...

A dataset of QSM images reconstructed using the STAR-QSM method, used for comparison with the autoQSM method.

A dataset of QSM images reconstructed using the QSMnet method, used for comparison with the autoQSM method.

A dataset of 209 healthy subjects with ages ranging from 11 to 82 years old, used for training a deep neural network for QSM reconstruction without brain extraction.