Classify 6 types of human activity from time series sensor data

MATLAB-based solution for robot navigation using Long Short-Term Memory (LSTM) networks. The aim of this project is to develop an intelligent system capable of guiding a robot through an environment using historical sensor data.

Implementation of an LSTM network in MATLAB that predicts future power consumptions of 3 zones in Tetuan City.

Motion Leaks through Smartwatch Sensors

This project was undertaken as part of my Bachelors degree. My chosen subject area integrates the disciplines of both electronics engineering and computer science by using artificial intelligence to remove noise and distortion from telecommunications systems. This project is developed entirely in MATLAB.

Machine Learning Tool to Forecast Grid Frequency and Scheduled Power Generation of Thermal Power Plant.

Basic app with GUI that you can check out the data, set hyperparameters and train your model on selected dataset and make a backtest. Learning purposes only.

Fault prognosis using LSTM and CNN

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.

To find out when was the time that the fault occurs and make predictions to find out early faults,you can use a LSTM network to classify each time step of sequence data

Using MATLAB and Python.

🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast earthquakes with ease! 📈🔮

Hippocampus spike activity related to the depression-related behaviors after stress. Propose the stress determinator

MATLAB wrapper for nowcast_lstm python package

This is a simple example of video classification using LSTM with MATLAB.

MSc Project: Quantifying Stress Pattern. A 9-month individual research project, as a part of my MSc Communication & Signal Processing at Imperial College London. (ECG, HRV, SVM, LSTM, MATLAB)

Ensemble RNN based neural network for ECG anomaly detection