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 +5 more sources
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
doaj +4 more sources
An Improved Bidirectional Gated Recurrent Unit Method for Accurate State-of-Charge Estimation [PDF]
IEEE Access, 2021 State-of-Charge (SOC) estimation of lithium-ion batteries have a great significance for ensuring the safety and reliability of battery management systems in electrical vehicle.
Zhaowei Zhang +7 more
doaj +3 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
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 +2 more sources
IEEE Access, 2022 Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss.
Pamir +5 more
doaj +3 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
Rapid Prediction of Respiratory Motion Based on Bidirectional Gated Recurrent Unit Network [PDF]
IEEE Access, 2020 In chest and abdomen robotic radiosurgery, due to the motion delay of the robotic manipulator, the tumor position tracking process has a period of delay. This delay ultimately affects the accuracy of radiosurgery treatment.
Shumei Yu +5 more
doaj +2 more sources
Indonesian Abstractive Text Summarization Using Bidirectional Gated Recurrent Unit
Procedia Computer Science, 2019 Abstract Abstractive text summarization is more challenging than the extractive one since it is performed by paraphrasing the entire contents of the text, which has a higher difficulty. But, it produces a more natural summary and higher inter-sentence cohesion.
Suyanto Suyanto, Untari Novia Wisesty
exaly +2 more sources
Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network [PDF]
IEEE Access, 2019 Myocardial infarction (MI) is an acute disease. Early detection and early treatment are of great significance for improving the health of people. In order to reduce the misdiagnosis rate of MI diseases, this paper proposes a multi-lead bidirectional ...
Xingjin Zhang +5 more
doaj +2 more sources