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1
Predicting Earthquakes with Ionospheric Data: A Hybrid Appr..:
, In:
2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)
,
Abri, Rayan
;
Abri, Sara
;
Artuner, Harun
. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICMI60790.2024.10585753
RT T1 <cTitle>2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)</cTitle>: T1 <Title>Predicting Earthquakes with Ionospheric Data: A Hybrid Approach Utilizing Deep AutoEncoder and LSTM Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10585753&Exemplar=1&LAN=DE A1 Abri, Rayan A1 Abri, Sara A1 Artuner, Harun A1 Cetin, Salih YR 2024 K1 Support vector machines K1 Measurement K1 Analytical models K1 Atmospheric modeling K1 Earthquakes K1 Predictive models K1 Feature extraction K1 Total electron content K1 Long short term memory K1 Deep autoencoder K1 Support vector machine K1 Linear Discriminant Analysis SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICMI60790.2024.10585753 DO https://doi.org/10.1109/ICMI60790.2024.10585753 SF ELIB - SuUB Bremen
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