Autoencoder Deep Learning model for EEG artifact removal in Android smartphone The EEG dataset (preprocessed) and the Autoencoder Python code is in "ae_model" branch.

Today's example: a Keras based autoencoder for noise removal In the next part, we'll show you how to use the Keras deep learning framework for creating a denoising or signal removal autoencoder. Here, ...

Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed among ...