Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog.
- DOI
- 10.3390/s19030597
- Published
- 2019 Jan 31
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.3390/s19030597,
title = {Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog.},
author = {Dickey J and Borghetti B and Junek W},
year = {2019},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s19030597},
url = {https://doi.org/10.3390/s19030597}
}RIS
TY - JOUR TI - Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog. AU - Dickey J AU - Borghetti B AU - Junek W PY - 2019 JO - Sensors (Basel, Switzerland) DO - 10.3390/s19030597 UR - https://doi.org/10.3390/s19030597 ER -
APA
J, D., B, B., & W, J. (2019). Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s19030597
Source records
- pubmed · retrieved 2026-09-26T19:08:02.288Z