IEEE

CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning

Abstract: Machine unlearning allows data owners to erase the impact of their specified data from trained models. Unfortunately, recent studies have shown that adversaries can recover the erased data, ...
IEEE

Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
Eat This%2c Not That!

4 Bodyweight Exercises That Build More Strength Than Gym Machines After 50

Walk into any gym and you’ll see the same thing: rows of machines, each one isolating a specific muscle group and guiding you through perfectly linear movements. While machines do have their place for ...
GitHub

256-channel EEG Signal Compression Using a Convolutional Autoencoder: Binocular Rivalry Use Case

This GitHub repository contains the code used for the purposes of the article Near-lossless EEG Signal Compression Using a Convolutional Autoencoder: Case Study for 256-channel Binocular Rivalry ...