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1 Ergebnisse
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CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Dee..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Li, Jiajia
;
Dai, Ling
;
Tan, Feng
... - p. 4073-4077 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9746242
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9746242&Exemplar=1&LAN=DE A1 Li, Jiajia A1 Dai, Ling A1 Tan, Feng A1 Shen, Hui A1 Wang, Zikai A1 Sheng, Bin A1 Hu, Pengwei YR 2022 SN 2379-190X K1 Deep learning K1 Recurrent neural networks K1 Time series analysis K1 Signal processing algorithms K1 Predictive models K1 Feature extraction K1 Transformers K1 Multivariate Time Series K1 Deep Neural Network K1 Feature Fusion K1 Attention Mechanism K1 Time Series Prediction SP 4073 OP 4077 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9746242 DO https://doi.org/10.1109/ICASSP43922.2022.9746242 SF ELIB - SuUB Bremen
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