amrzhd

eeg-mscnn

This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals

eegdataaugmentations

GitHub repository featuring EEG data augmentation methods for neural network training.

eegnet

This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

lighting-and-temperature-controller

In this project we are going tp control the lighting and temperature of a smart home. For temperature control we use 2 brushless DC fan. One for Cooling and other for heating the house model.

mriskullstripping

Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

techcafe-backend

This the backend source code of tech cafe website. used django rest framework and postgres database

timetable