Frontiers13d
Double array system identification research based on LSTM neural network
To efficiently address the complex nonlinear problems associated with earthquake simulation shaking array systems, this paper proposes the identification of the earthquake simulation shaking array ...
Frontiers5d
Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation
In recent years, deep neural networks have achieved impressive performance on various medical image analysis tasks (1, 2). This success is highly associated with the use of large amounts of ...
GitHub18d
LSTM-GAN for generate plausible ECG signals
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network. Scientific reports, 9 (1), pp. 1–11 (2019) A. M. Delaney, E. Brophy, T. E. Ward. Synthesis of Realistic ECG ...