The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time.
- DOI
- 10.3390/s21186290
- Published
- 2021 Sep 19
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s21186290,
title = {The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time.},
author = {Stepnov A and Chernykh V and Konovalov A},
year = {2021},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s21186290},
url = {https://doi.org/10.3390/s21186290}
}RIS
TY - JOUR TI - The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time. AU - Stepnov A AU - Chernykh V AU - Konovalov A PY - 2021 JO - Sensors (Basel, Switzerland) DO - 10.3390/s21186290 UR - https://doi.org/10.3390/s21186290 ER -
APA
A, S., V, C., & A, K. (2021). The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21186290
Source records
- pubmed · retrieved 2026-09-27T11:41:30.422Z