Results 11 to 20 of about 3,794 (184)
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
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
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Bi-GRU Urgent Classification for MOOC Discussion Forums Based on BERT [PDF]
MOOC proporciona un foro para la comunicación entre estudiantes y docentes y es una plataforma para que los estudiantes articulen sus problemas en el proceso educativo. Debido al gran número de estudiantes y al pequeño número de docentes, distinguir las publicaciones que requieren una intervención rápida es un desafío. Por lo tanto, existe la necesidad
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The state of Amapá within the Amazon biome has a high complexity of ecosystems formed by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses. The present research aimed to map the vegetation from the phenological behavior
Ivo Augusto Lopes Magalhães +7 more
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Make It Directly: Event Extraction Based on Tree-LSTM and Bi-GRU [PDF]
Event extraction is an important research direction in the field of natural language processing (NLP) applications including information retrieval (IR). Traditional event extraction is realized with two methods: the pipeline and the joint extraction methods.
Wentao Yu +4 more
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Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model
With tunnel boring machines (TBMs) widely used in tunnel construction, the adaptable adjustment of TBM operating status has become a research focus.
Qinglong Zhang +5 more
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Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in modeling sequential data such as audio processing, video processing, time series analysis, and text mining.
Tariq Ahmad +5 more
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Bi-GRU Sentiment Classification for Chinese Based on Grammar Rules and BERT
Sentiment classification is a fundamental task in NLP, and its aim to predict the sentiment polarities of the given texts. Recent researches show great interest in modeling Chinese sentiment classification. However, the complexity of Chinese grammar makes the performance of the existing Chinese sentiment classification model not perform well.
Qiang Lu 0006 +5 more
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Bearing intelligent fault diagnosis
Bearing vibration signal is a kind of time series data, and its time dimension characteristic plays a key role in classification. Using convolutional neural network (CNN) alone to diagnose bearing fault will cause the loss of time dimension information ...
WU Dongmei +4 more
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Chinese Lexical Analysis with Deep Bi-GRU-CRF Network
10 pages, 1 figure, 4 ...
Zhenyu Jiao, Shuqi Sun, Ke Sun 0005
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As a new type of currency introduced in the new millennium, cryptocurrency has established its ecosystems and attracts many people to use and invest in it.
Seng Hansun +2 more
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