🌍 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! 📈🔮

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

Matlab Variational LSTM Autoencoder and Time Series Prediction for anomaly detection. Some code of my masters thesis. Download Link: https://pure.unileoben.ac.at/portal/files/6093740/AC16131071.pdf

MATLAB wrapper for nowcast_lstm python package

This repository stores my personal projects related to data science studies.

A Seizure Classification LSTM model has been created using Matlab. Research conducted in Professor Woodhall's lab at Aston University obtained the local field potentials of epileptic and control rats used in this deep learning project.

MatLab scripts for performing a sensitivity analysis of LSTM networks for fall detection wearable sensors based on the SisFall dataset

Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques, machine learning, and deep learning. Researchers employ predictive analytics to find patterns in this data to identify risks and opportunities.

This is a text classifier that works well for long text or article. It's a supervised learning with LSTM network, because you have to explain your topics before launching it.

Time Series Forecasting Using MATLAB and LSTM

Smart Energy Policies for Sustainable Mobile Networks via Forecasting and Adaptive Control

A Sharing Framework for Energy and Computing Resources in Multi-Operator Mobile Networks