Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
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Updated
Jun 9, 2021 - MATLAB
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
[ICIP'19] LSTM-MA: A LSTM Method with Multi-modality and Adjacency Constraint for Brain Image Segmentation (Oral)
Heart sounds segmentation based on LSTM neural network and Fourier Synchrosqueezed Transform.
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).
This is a simple example of video classification using LSTM with MATLAB.
MATLAB wrapper for nowcast_lstm python package
🌍 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
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.
Using MATLAB and Python.
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
Implementation of an LSTM network in MATLAB that predicts future power consumptions of 3 zones in Tetuan City.
Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project
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