Ahmed-Habashy/Dataset-BCI-competition-iv-2b
This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.
Computer and Systems Eng.
Repositories
Ahmed-Habashy/IMU-and-GPS-Data-Extraction-and-Radio-Transmission
This program extracts data from two sensors: SparkFun 9DoF Razor IMU M0 and SparkFun GPS-RTK-SMA Breakout - ZED-F9P. The extracted data is then combined into a single message and sent via a radio transmitter.
Ahmed-Habashy/Enhancing-Cross-Subject-Motor-Imagery-Classification-using-VGG-based-CNN-and-WGANs
This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a CNN and WGAN.
Ahmed-Habashy/calculate-Inception-Score-for-CIFAR-10-in-Keras
This code calculates the Inception Score for the CIFAR-10 dataset using Keras with InceptionV3 model. The Inception Score is a metric to evaluate the quality of generated images from a generative model.
Ahmed-Habashy/Dataset-BCI-competition-iv-set1
This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) for data augmentation..
Ahmed-Habashy/STM32F407-program-to-extract-and-store-data-from-STM32F103-board
This project extracts and stores data from an STM32F103 board connected to an STM32F407 board via USB. The program uses the STM32F407 board as the USB host to read data from the STM32F103 board and store it in a file on a USB flash drive.
Ahmed-Habashy/WGAN-for-Generating-Handwritten-Digits
This code is an implementation of the Wasserstein GAN (WGAN) algorithm for generating handwritten digits. The WGAN algorithm was introduced as a way to address the problem of training instability in the original GAN algorithm.
Ahmed-Habashy/CNN-classifier-for-EEG-Motor-imagery-spectrum-images
This Python script creates, trains, and tests a Convolutional Neural Network (CNN) for image classification using various libraries like Numpy, Tensorflow, OpenCV, Keras, etc. The input images are spectrum images that are loaded from a specified folder path and pre-processed by resizing and normalizing.
Ahmed-Habashy/DCGAN-on-CIFAR10
In this script, we use Deep Convolutional Generative Adversarial Networks (DCGANs) to generate new images that resemble CIFAR10 dataset images.
Ahmed-Habashy/SBG-Ellipse-2N-Sensor-Data-Extraction-Code
This code implements a firmware for extracting data from an SBG Ellipse-2N sensor. It configures three serial interfaces to communicate with the sensor and other devices, and reads data from the sensor to extract Euler angles, navigation data, and GPS data.
Ahmed-Habashy/CNN-hyperparameter_tuning
This Python code performs a grid search using scikit-learn to find the optimal combination of batch size and epochs for a neural network model built with Keras.
Ahmed-Habashy/ESP8266-Wi-Fi-Data-Extraction-and-Sending-Code
This code is designed to run on an ESP8266 microcontroller and to send data via Wi-Fi using the ESP8266WiFi and WiFiUDP libraries.