Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt. [PDF]
Front Public HealthLiu XD, Hou BH, Xie ZJ, Feng N, Dong XP.
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DGD-CNet: Denoising Gated Recurrent Unit with a Dropout-Based CSI Network for IRS-Aided Massive MIMO Systems. [PDF]
Sensors (Basel)Abdelmaksoud A +4 more
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Bidirectional gated recurrent unit network model can generate future visual field with variable number of input elements. [PDF]
PLoS OneLee J +7 more
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HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals. [PDF]
Brain InformBhadra R, Singh PK, Mahmud M.
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Inversion Method for Transformer Winding Hot Spot Temperature Based on Gated Recurrent Unit and Self-Attention and Temperature Lag. [PDF]
Sensors (Basel)Hao Y, Zhang Z, Liu X, Yang Y, Liu J.
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A Novel Method for Remaining Useful Life Prediction of RF Circuits Based on the Gated Recurrent Unit-Convolutional Neural Network Model. [PDF]
Sensors (Basel)Yang W, Wu K, Long B, Tian S.
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Intelligent Fault Diagnosis Method Based on Cross-Device Secondary Transfer Learning of Efficient Gated Recurrent Unit Network. [PDF]
Sensors (Basel)Mo C, Huang K.
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Oral cancer diagnosis based on gated recurrent unit networks optimized by an improved version of Northern Goshawk optimization algorithm. [PDF]
HeliyonZhang L, Shi R, Youssefi N.
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Predicting Bitcoin Price with Gated Recurrent Units
Bitcoin has become an increasingly common investment instrument despite its high volatility. There is an interest within the financial market in seeking better models for predicting Bitcoin prices. The existing models range from statistical models to machine learning algorithms.
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