Visual field prediction using a deep bidirectional gated recurrent unit network model [PDF]
Scientific Reports, 2023 Although deep learning architecture has been used to process sequential data, only a few studies have explored the usefulness of deep learning algorithms to detect glaucoma progression.
Hwayeong Kim +11 more
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Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Visual inspection of long-term electroencephalography (EEG) is a tedious task for physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural network, an automatic seizure detection method is proposed in this paper to facilitate ...
Yanli Zhang +7 more
doaj +4 more sources
Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection. [PDF]
PLoS ONE, 2022 With the development of recent years, the field of deep learning has made great progress. Compared with the traditional machine learning algorithm, deep learning can better find the rules in the data and achieve better fitting effect.
Qihang Zhou, Changjun Zhou, Xiao Wang
doaj +3 more sources
Hyperspectral Image Denoising and Compression Using Optimized Bidirectional Gated Recurrent Unit
Remote SensingThe availability of a higher resolution fine spectral bandwidth in hyperspectral images (HSI) makes it easier to identify objects of interest in them.
Divya Mohan +2 more
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The Bidirectional Gated Recurrent Unit Network Based on the Inception Module (Inception-BiGRU) Predicts the Missing Data by Well Logging Data. [PDF]
ACS Omega, 2023 As a key bridge between logging and seismic data, acoustic (AC) logging data is of great significance for reservoir lithology, physical property analysis, and quantitative evaluation, and completing AC logging data can help to obtain high-resolution ...
Sun Y, Zhang J, Yu Z, Zhang Y, Liu Z.
europepmc +2 more sources
Bidirectional Gated Recurrent Unit Neural Network for Fault Diagnosis and Rapid Maintenance in Medium-Voltage Direct Current Systems. [PDF]
Sensors (Basel)With the growing penetration of renewable energy sources, ensuring the stability and reliability of Medium-Voltage Direct Current (MVDC) systems has become more critical than ever.
Lee B, Kim Y, Lee H, Kang C.
europepmc +2 more sources
Students learning performance prediction based on feature extraction algorithm and attention-based bidirectional gated recurrent unit network. [PDF]
PLoS One, 2023 With the development of information technology construction in schools, predicting student grades has become a hot area of application in current educational research.
Yin C +5 more
europepmc +2 more sources
Position-Enhanced Multi-Head Self-Attention Based Bidirectional Gated Recurrent Unit for Aspect-Level Sentiment Classification [PDF]
Frontiers in Psychology, 2022 Aspect-level sentiment classification (ASC) is an interesting and challenging research task to identify the sentiment polarities of aspect words in sentences.
Xianyong Li +4 more
doaj +2 more sources
Gearbox Fault Diagnosis Under Noise and Variable Operating Conditions Using Multiscale Depthwise Separable Convolution and Bidirectional Gated Recurrent Unit with a Squeeze-and-Excitation Attention Mechanism. [PDF]
Sensors (Basel)Gearbox condition monitoring is essential for ensuring the reliability of power transmission systems. However, the existing methods are constrained by shallow feature extraction and unidirectional temporal modeling.
Ma X, Zhai K, Luo N, Zhao Y, Wang G.
europepmc +2 more sources
Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation [PDF]
ISPRS International Journal of Geo-Information, 2020 Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding.
Pengpeng Li +6 more
doaj +2 more sources