Automatic classification of seismic signals from Llaima volcano (Chile).
# Copy the repository
project_dir="$(pwd)/volcano-seismic_classifier"
git clone https://github.com/sborquez/volcano-seismic_classifier.git $project_dir
# Run DataScience docker and mount project folder.
sudo docker run --name volcano-seismic_classifier --gpus all --rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 -v "$project_dir:/rapids/host/notebooks" sborquez/datascience:latest-gpu
# Download Datasets
(rapis)$ cd /rapids/host/notebooks
(rapis)$ python data.py --all
# Open your browser http://localhost:8888/lab? and go to host/notebooks- Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms
- Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features
- Attention is All You Need
- Machine Learning for Volcano-Seismic Signals: Challenges and Perspectives MACHINE LEARNING FOR VOLCANO-SEISMIC SIGNALS: CHALLENGES AND PERSPECTIVES 1 Machine Learning for Volcano-seismic Signals: Challenges and Perspectives
- Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile)
- Llaima Dataset. In-depth comparison of deep artificial neural network architectures on seismic events classification
- Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations
- In-depth comparison of deep artificial neural network architectures on seismic events classification
- AST: Audio Spectrogram Transformer