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

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).

🌍 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! 📈🔮

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

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)

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

Fault prognosis using LSTM and CNN

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

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

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

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.

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

MATLAB wrapper for nowcast_lstm python package