Results 161 to 170 of about 80,914 (224)

FC-TFS-CGRU: A Temporal-Frequency-Spatial Electroencephalography Emotion Recognition Model Based on Functional Connectivity and a Convolutional Gated Recurrent Unit Hybrid Architecture. [PDF]

Sensors (Basel)
Wu X, Zhang Y, Li J, Yang H, Wu X.
europepmc   +1 more source

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Residual-time gated recurrent unit

Neurocomputing
Yirong Wu, Feng Hu, Chonghao Yue, Shuifa Sun   +3 more
openaire   +2 more sources

State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

Journal of Power Sources, 2022
Zheng Chen, Hongqian Zhao, Yuanjian Zhang   +2 more
exaly   +2 more sources

Data-Driven Prognostic Scheme for Bearings Based on a Novel Health Indicator and Gated Recurrent Unit Network

IEEE Transactions on Industrial Informatics, 2023
The prognosis of bearings is vital for condition-based maintenance of rotating machinery. This article proposes a systematic prognostic scheme for rolling element bearings.
Qing Ni, Jinchen Ji, Ke Feng
semanticscholar   +1 more source

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

Reliability Engineering and System Safety, 2022
Jiusi Zhang, Yuchen Jiang, Shimeng Wu
exaly   +2 more sources

Dual-Thread Gated Recurrent Unit for Gear Remaining Useful Life Prediction

IEEE Transactions on Industrial Informatics, 2023
Remaining useful life (RUL) prediction can provide a foundation for the operation and maintenance of industrial equipment. In order to improve the predictive ability for the complex degradation trajectory, a new dual-thread gated recurrent unit (DTGRU ...
Jianghong Zhou, Yi Qin, Jun Luo, Shilong Wang, Tao Zhu   +4 more
semanticscholar   +1 more source

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

Energy, 2021
To reduce the influence of the measurement data noise on state of charge (SOC) estimation, a novel neural network method is proposed by combining an input data processing method with the conventional gated recurrent unit recurrent neural network (GRU-RNN)
Qiao Zhu
exaly   +2 more sources

Plant Classification Based on Gated Recurrent Unit [PDF]

, 2018
Classification of plants based on a multi-organ approach is very challenging due to the variability in shape and appearance in plant organs. Despite promising solutions built using convolutional neural network (CNN) for plant classification, the existing approaches do not consider the correspondence between different views captured of a plant. In fact,
Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Alexis Joly, Pierre Bonnet, Hervé Goëau   +5 more
openaire   +1 more source

EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion

IEEE Transactions on Affective Computing, 2023
Automatic emotion recognition based on electroencephalogram (EEG) has attracted rapidly increasing interests. Due to large inter-subject variabilities, subject-independent emotion recognition faces great challenges.
Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, Xun Chen   +5 more
semanticscholar   +1 more source

Time series-based groundwater level forecasting using gated recurrent unit deep neural networks

Engineering Applications of Computational Fluid Mechanics, 2022
In this research, the mean monthly groundwater level with a range of 3.78 m in Qoşaçay plain, Iran, is forecast. Regarding three different layers of gated recurrent unit (GRU) structures and a hybrid of variational mode decomposition with gated recurrent
Amin Gharehbaghi, Kwok-Wing Chau, Amir Mosavi   +2 more
exaly   +2 more sources