Results 1 to 10 of about 3,794 (184)
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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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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OTFS channel estimation method based on IBO-dynamic gated Bi-GRU [PDF]
Scientific ReportsThis paper introduces a novel channel estimation method for Orthogonal Time Frequency Space (OTFS) systems affected by nonlinear distortion from High-Power Amplifiers (HPA).
Jie Hou +3 more
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Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model [PDF]
Scientific ReportsWater resources should be used efficiently in order to reduce constraints to future generations. it is important to stress the importance of well-developed management plans with sound forecasts.
Muhammad Irfan +5 more
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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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IEEE Access, 2022 The collaboration development between the power supply, solar power, and storage batteries is a formidable commission in the smart solar microgrid.
Phuong Nguyen Thanh +3 more
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Visual field prediction using a deep bidirectional gated recurrent unit network model
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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Short-Term Traffic Flow Prediction Method Based on Spatiotemporal Relativity [PDF]
Jisuanji gongcheng, 2020 The intelligent travel of the new generation intelligent traffic system and the intelligent decision-making of traffic big data need accurate and timely short-term traffic flow prediction.Deep learning can generate features by machine learning technology,
YAN Yang, SUN Lijun, ZHU Lanting
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Character gated recurrent neural networks for Arabic sentiment analysis
Scientific Reports, 2022 Sentiment analysis is a Natural Language Processing (NLP) task concerned with opinions, attitudes, emotions, and feelings. It applies NLP techniques for identifying and detecting personal information from opinionated text.
Eslam Omara, Mervat Mousa, Nabil Ismail
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Deep learning based network traffic matrix prediction
International Journal of Intelligent Networks, 2021 Network traffic matrix prediction is a methodology of predicting network traffic behavior ahead of time in order to improve network management and planning.
Dalal Aloraifan +2 more
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