Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308695711> ?p ?o ?g. }
- W4308695711 endingPage "1729" @default.
- W4308695711 startingPage "1721" @default.
- W4308695711 abstract "Abstract. The rapid characterisation of earthquake parameters such as its magnitude is at the heart of earthquake early warning (EEW). In traditional EEW methods, the robustness in the estimation of earthquake parameters has been observed to increase with the length of input data. Since time is a crucial factor in EEW applications, in this paper we propose a deep-learning-based magnitude classifier based on data from a single seismic station and further investigate the effect of using five different durations of seismic waveform data after first P-wave arrival: 1, 3, 10, 20 and 30 s. This is accomplished by testing the performance of the proposed model that combines convolution and bidirectional long short-term memory units to classify waveforms based on their magnitude into three classes: “noise”, “low-magnitude events” and “high-magnitude events”. Herein, any earthquake signal with magnitude equal to or above 5.0 is labelled as “high-magnitude”. We show that the variation in the results produced by changing the length of the data is no more than the inherent randomness in the trained models due to their initialisation. We further demonstrate that the model is able to successfully classify waveforms over wide ranges of both hypocentral distance and signal-to-noise ratio." @default.
- W4308695711 created "2022-11-14" @default.
- W4308695711 creator A5000432967 @default.
- W4308695711 creator A5010223871 @default.
- W4308695711 creator A5027999474 @default.
- W4308695711 creator A5055956023 @default.
- W4308695711 creator A5077724599 @default.
- W4308695711 creator A5090727444 @default.
- W4308695711 date "2022-11-10" @default.
- W4308695711 modified "2023-10-16" @default.
- W4308695711 title "A study on the effect of input data length on a deep-learning-based magnitude classifier" @default.
- W4308695711 cites W1582774210 @default.
- W4308695711 cites W1806891645 @default.
- W4308695711 cites W1965154800 @default.
- W4308695711 cites W1973450628 @default.
- W4308695711 cites W1993220166 @default.
- W4308695711 cites W2008660675 @default.
- W4308695711 cites W2013203422 @default.
- W4308695711 cites W2050127080 @default.
- W4308695711 cites W2050182614 @default.
- W4308695711 cites W2064675550 @default.
- W4308695711 cites W2070990115 @default.
- W4308695711 cites W2074772891 @default.
- W4308695711 cites W2079572890 @default.
- W4308695711 cites W2086820490 @default.
- W4308695711 cites W2096090310 @default.
- W4308695711 cites W2098941059 @default.
- W4308695711 cites W2117454556 @default.
- W4308695711 cites W2160815625 @default.
- W4308695711 cites W2194775991 @default.
- W4308695711 cites W2274592856 @default.
- W4308695711 cites W2338318698 @default.
- W4308695711 cites W2618530766 @default.
- W4308695711 cites W2762410434 @default.
- W4308695711 cites W2794417179 @default.
- W4308695711 cites W2798828763 @default.
- W4308695711 cites W2892035503 @default.
- W4308695711 cites W2897402093 @default.
- W4308695711 cites W2907292342 @default.
- W4308695711 cites W2913447624 @default.
- W4308695711 cites W2914736117 @default.
- W4308695711 cites W2919115771 @default.
- W4308695711 cites W2922909036 @default.
- W4308695711 cites W2962739339 @default.
- W4308695711 cites W2980395728 @default.
- W4308695711 cites W2983368141 @default.
- W4308695711 cites W3035647460 @default.
- W4308695711 cites W3047855151 @default.
- W4308695711 cites W3084541745 @default.
- W4308695711 cites W3100777112 @default.
- W4308695711 cites W3102041920 @default.
- W4308695711 cites W3102813443 @default.
- W4308695711 cites W3137248351 @default.
- W4308695711 cites W3171431160 @default.
- W4308695711 cites W3191026187 @default.
- W4308695711 cites W4242121546 @default.
- W4308695711 cites W4309609819 @default.
- W4308695711 doi "https://doi.org/10.5194/se-13-1721-2022" @default.
- W4308695711 hasPublicationYear "2022" @default.
- W4308695711 type Work @default.
- W4308695711 citedByCount "3" @default.
- W4308695711 countsByYear W43086957112022 @default.
- W4308695711 countsByYear W43086957112023 @default.
- W4308695711 crossrefType "journal-article" @default.
- W4308695711 hasAuthorship W4308695711A5000432967 @default.
- W4308695711 hasAuthorship W4308695711A5010223871 @default.
- W4308695711 hasAuthorship W4308695711A5027999474 @default.
- W4308695711 hasAuthorship W4308695711A5055956023 @default.
- W4308695711 hasAuthorship W4308695711A5077724599 @default.
- W4308695711 hasAuthorship W4308695711A5090727444 @default.
- W4308695711 hasBestOaLocation W43086957111 @default.
- W4308695711 hasConcept C105795698 @default.
- W4308695711 hasConcept C121332964 @default.
- W4308695711 hasConcept C125112378 @default.
- W4308695711 hasConcept C126691448 @default.
- W4308695711 hasConcept C127313418 @default.
- W4308695711 hasConcept C1276947 @default.
- W4308695711 hasConcept C165205528 @default.
- W4308695711 hasConcept C197424946 @default.
- W4308695711 hasConcept C2524010 @default.
- W4308695711 hasConcept C29825287 @default.
- W4308695711 hasConcept C2992890811 @default.
- W4308695711 hasConcept C33923547 @default.
- W4308695711 hasConcept C41008148 @default.
- W4308695711 hasConcept C554190296 @default.
- W4308695711 hasConcept C76155785 @default.
- W4308695711 hasConcept C99844830 @default.
- W4308695711 hasConceptScore W4308695711C105795698 @default.
- W4308695711 hasConceptScore W4308695711C121332964 @default.
- W4308695711 hasConceptScore W4308695711C125112378 @default.
- W4308695711 hasConceptScore W4308695711C126691448 @default.
- W4308695711 hasConceptScore W4308695711C127313418 @default.
- W4308695711 hasConceptScore W4308695711C1276947 @default.
- W4308695711 hasConceptScore W4308695711C165205528 @default.
- W4308695711 hasConceptScore W4308695711C197424946 @default.
- W4308695711 hasConceptScore W4308695711C2524010 @default.
- W4308695711 hasConceptScore W4308695711C29825287 @default.
- W4308695711 hasConceptScore W4308695711C2992890811 @default.