Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283763162> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4283763162 abstract "In the recent period, machine learning approaches have been widely used in many different fields. For example, in such applications where high immunities to noisy conditions are required. This is the case of an Early Earthquake Warning (EEW) system, a common technology used today to issue an alert in case of incoming seismic events. However, since most seismometers are installed in different locations of the Earth's surface, and different mechanical properties characterize them, each interpretation of a seismic earthquake could result in a highly complex task to be done in real-time using traditional approaches. Therefore, the proposed research has investigated the development of an innovative EEW system based on a novel deep learning system using both Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). The novel approach has been trained on about 5000 events retrieved from the IRIS University consortium. The achieved results have shown the excellent architecture capability in fully discovering the arrival of seismic events and good performance in the scoring of event intensity." @default.
- W4283763162 created "2022-07-02" @default.
- W4283763162 creator A5014275270 @default.
- W4283763162 creator A5034503288 @default.
- W4283763162 creator A5071580146 @default.
- W4283763162 creator A5077842218 @default.
- W4283763162 date "2022-05-16" @default.
- W4283763162 modified "2023-10-11" @default.
- W4283763162 title "A deep learning approach for the development of an Early Earthquake Warning system" @default.
- W4283763162 cites W2047030769 @default.
- W4283763162 cites W2058994326 @default.
- W4283763162 cites W2162303664 @default.
- W4283763162 cites W2199634471 @default.
- W4283763162 cites W2545505011 @default.
- W4283763162 cites W2735950945 @default.
- W4283763162 cites W2895546528 @default.
- W4283763162 cites W2897402093 @default.
- W4283763162 cites W2943568678 @default.
- W4283763162 cites W2969451235 @default.
- W4283763162 cites W2997947787 @default.
- W4283763162 cites W3006351417 @default.
- W4283763162 cites W3022504219 @default.
- W4283763162 cites W3033476221 @default.
- W4283763162 cites W3035647460 @default.
- W4283763162 cites W3039771831 @default.
- W4283763162 cites W3047855151 @default.
- W4283763162 cites W3092631889 @default.
- W4283763162 cites W3112986887 @default.
- W4283763162 cites W3151064326 @default.
- W4283763162 cites W3176851453 @default.
- W4283763162 cites W3177334015 @default.
- W4283763162 cites W3212411785 @default.
- W4283763162 doi "https://doi.org/10.1109/i2mtc48687.2022.9806627" @default.
- W4283763162 hasPublicationYear "2022" @default.
- W4283763162 type Work @default.
- W4283763162 citedByCount "4" @default.
- W4283763162 countsByYear W42837631622023 @default.
- W4283763162 crossrefType "proceedings-article" @default.
- W4283763162 hasAuthorship W4283763162A5014275270 @default.
- W4283763162 hasAuthorship W4283763162A5034503288 @default.
- W4283763162 hasAuthorship W4283763162A5071580146 @default.
- W4283763162 hasAuthorship W4283763162A5077842218 @default.
- W4283763162 hasConcept C108583219 @default.
- W4283763162 hasConcept C119217923 @default.
- W4283763162 hasConcept C121332964 @default.
- W4283763162 hasConcept C127313418 @default.
- W4283763162 hasConcept C127413603 @default.
- W4283763162 hasConcept C154945302 @default.
- W4283763162 hasConcept C165205528 @default.
- W4283763162 hasConcept C201995342 @default.
- W4283763162 hasConcept C2779662365 @default.
- W4283763162 hasConcept C2780451532 @default.
- W4283763162 hasConcept C29825287 @default.
- W4283763162 hasConcept C41008148 @default.
- W4283763162 hasConcept C62520636 @default.
- W4283763162 hasConcept C71939608 @default.
- W4283763162 hasConcept C76155785 @default.
- W4283763162 hasConcept C79403827 @default.
- W4283763162 hasConcept C81363708 @default.
- W4283763162 hasConceptScore W4283763162C108583219 @default.
- W4283763162 hasConceptScore W4283763162C119217923 @default.
- W4283763162 hasConceptScore W4283763162C121332964 @default.
- W4283763162 hasConceptScore W4283763162C127313418 @default.
- W4283763162 hasConceptScore W4283763162C127413603 @default.
- W4283763162 hasConceptScore W4283763162C154945302 @default.
- W4283763162 hasConceptScore W4283763162C165205528 @default.
- W4283763162 hasConceptScore W4283763162C201995342 @default.
- W4283763162 hasConceptScore W4283763162C2779662365 @default.
- W4283763162 hasConceptScore W4283763162C2780451532 @default.
- W4283763162 hasConceptScore W4283763162C29825287 @default.
- W4283763162 hasConceptScore W4283763162C41008148 @default.
- W4283763162 hasConceptScore W4283763162C62520636 @default.
- W4283763162 hasConceptScore W4283763162C71939608 @default.
- W4283763162 hasConceptScore W4283763162C76155785 @default.
- W4283763162 hasConceptScore W4283763162C79403827 @default.
- W4283763162 hasConceptScore W4283763162C81363708 @default.
- W4283763162 hasLocation W42837631621 @default.
- W4283763162 hasOpenAccess W4283763162 @default.
- W4283763162 hasPrimaryLocation W42837631621 @default.
- W4283763162 hasRelatedWork W2035097540 @default.
- W4283763162 hasRelatedWork W2349372670 @default.
- W4283763162 hasRelatedWork W2973880684 @default.
- W4283763162 hasRelatedWork W3029198973 @default.
- W4283763162 hasRelatedWork W3133861977 @default.
- W4283763162 hasRelatedWork W3167935049 @default.
- W4283763162 hasRelatedWork W3193565141 @default.
- W4283763162 hasRelatedWork W3214014961 @default.
- W4283763162 hasRelatedWork W4226493464 @default.
- W4283763162 hasRelatedWork W4312417841 @default.
- W4283763162 isParatext "false" @default.
- W4283763162 isRetracted "false" @default.
- W4283763162 workType "article" @default.