Unsupervised_Machine_Learning_for_Urban_Seismic_Noise

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Unsupervised_Machine_Learning_for_Urban_Seismic_Noise

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A convolutional autoencoder based deep embedded clustering implementation for seismic noise analysis.

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# Unsupervised_Machine_Learning_for_Urban_Seismic_Noise
A convolutional autoencoder based deep embedded clustering implementation for seismic noise analysis. The code presented here is an example of one model training from mid-february. The project is ongoing as part of my master's research. The attached code does not represent the most current model or methods being utilized and will be updated as my research progresses.

This research has been presented (or will be presented) at the conferences and workshops listed below.

# Talks and Conference Presentations:
Snover, D., Johnson, C., Bianco, M., Gerstoft, P., (2019, December) Urban Seismic Noise Classification using Dense Array Data.  Presented at American Geophysical Union’s Fall Meeting, San Francisco, California (talk)

Snover, D., Johnson, C., Bianco, M., Gerstoft, P., (2020, February) Classification of Urban Seismic Noise Using Unsupervised Machine Learning.  Presented at the 2020 Information Theory and Applications Workshop, San Diego, California (talk)

<del>Snover, D., Johnson, C., Bianco, M., Gerstoft, P.,(2020, April) Classification of Urban Seismic Noise Using Unsupervised Machine Learning. Upcoming presentation at the 2020 Seismological Society of America Annual Meeting, Albequerque, New Mexico (talk).</del>   (Conference Cancelled)

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