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Ditemukan 1 dari pencarian Anda melalui kata kunci: author=Donald D. Lucas
Deep convolutional autoencoders as generic feature extractors in seismologica…
The idea of using a deep autoencoder to encode seismic waveform features and then use them in different seismological applications is appealing. In this paper, we designed tests to evaluate this idea of using autoencoders as feature extractors for different seismological applications, such as event discrimination (i.e., earthquake vs. noise waveforms, earthquake vs. explosion waveforms), and ph…
- Edisi
- Vol.2, December 2021
- ISBN/ISSN
- 2666-5441
- Deskripsi Fisik
- 11 hlm PDF, 1.991 KB
- Judul Seri
- Artificial Intelligence in Geosciences
- No. Panggil
- 551
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