IEEE

Phonocardiogram Classification Using Dynamic Mode Decomposition for Heterogeneity-Resilient Training

Abstract: Medical measurements of the heart, such as a phonocardiogram (PCG), provide a noninvasive means for diagnosing valvular heart diseases. Recently, deep learning has shown great success in the ...
GitHub

EEG-Depression-Classification-HybridSNN-LSTM

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.
IEEE

Thyroid Nodule Classification Using Two Levels Attention-Based Bi-Directional LSTM with Ultrasound Reports

Abstract: Classification of thyroid nodules is a basic work for the diagnosis and treatment of thyroid nodules. The most common way to classified nodule now is the support vector machines (SVM), but ...
EDN

Using the DIR Pin for Bi-Directional Level Translation

Today’s mixed-voltage systems often use bidirectional level translation as a way to improve efficiency while saving power. There are several ways to implement bidirectional translation, but one of the ...