Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Efficient, transparent deep learning in hundreds of lines of code.

Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

Ensemble RNN based neural network for ECG anomaly detection

🌍 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! 📈🔮

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).

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

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)

[ICIP'19] LSTM-MA: A LSTM Method with Multi-modality and Adjacency Constraint for Brain Image Segmentation (Oral)

Fault prognosis using LSTM and CNN

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

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

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

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

MicrogridSim is a MATLAB project designed for simulating and optimizing hybrid microgrid operations, originally developed for a research report. It incorporates models for PV solar, wind turbines, battery storage, grid interaction, and diesel generators.

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.

Using MATLAB and Python.