Results 11 to 20 of about 3,768 (183)
Prediction of Particulate Concentration Based on Correlation Analysis and a Bi-GRU Model. [PDF]
Int J Environ Res Public Health, 2022 In recent decades, particulate pollution in the air has caused severe health problems. Therefore, it has become a hot research topic to accurately predict particulate concentrations. Particle concentration has a strong spatial–temporal correlation due to pollution transportation between regions, making it important to understand how to utilize these ...
Xu H, Zhang A, Xu X, Li P, Ji Y.
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Bi-GRU Relation Extraction Model Based on Keywords Attention [PDF]
Data Intelligence, 2022 Abstract Relational extraction plays an important role in the field of natural language processing to predict semantic relationships between entities in a sentence. Currently, most models have typically utilized the natural language processing tools to capture high-level features with an attention mechanism to mitigate the adverse ...
Yuanyuan Zhang +7 more
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Health Recognition Algorithm for Sports Training Based on Bi-GRU Neural Networks. [PDF]
J Healthc Eng, 2021 The healthcare benefits associated with regular physical activity recognition and monitoring have been considered in several research studies. Regular recognition and monitoring of health status can potentially assist in managing and reducing the risk of many diseases such as cardiovascular disease, diabetes, and obesity.
Nie Q, Li Y, Xiong WY, Xu W.
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Bi-GRU Urgent Classification for MOOC Discussion Forums Based on BERT [PDF]
IEEE Access, 2021 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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Make It Directly: Event Extraction Based on Tree-LSTM and Bi-GRU [PDF]
IEEE Access, 2020 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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IEEE Access, 2023 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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Bearing intelligent fault diagnosis
Gong-kuang zidonghua, 2022 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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Bi-GRU Sentiment Classification for Chinese Based on Grammar Rules and BERT
International Journal of Computational Intelligence Systems, 2020 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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Chinese Lexical Analysis with Deep Bi-GRU-CRF Network
CoRR, 2018 10 pages, 1 figure, 4 ...
Zhenyu Jiao, Shuqi Sun, Ke Sun 0005
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Integrating 1D-CNN and Bi-GRU for ENF-Based Video Tampering Detection. [PDF]
Sensors (Basel)Electric network frequency (ENF) refers to the transmission frequency of a power grid, which fluctuates around 50 Hz or 60 Hz. Videos captured in a power grid environment may exhibit flickering artifact caused by the intensity variation in the light source, thus exhibiting the flickering pattern according to the ENF fluctuation.
Lin X, Zang X.
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