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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.
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.
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
๐ Welcome to the Earthquake Prediction Analysis Project! ๐ This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast earthquakes with ease! ๐๐ฎ
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)
This repository includes the source code of the LSTM-based channel estimators proposed in "Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11 p Standard" paper that is published in the proceedings of the IEEE GLOBECOM 2022 conference that was held in Madrid (Spain).