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Fault Prediction of IoT Terminals based on Improved ...
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由 Y Huo 著作2023 — In this paper, a IoT terminal fault prediction algorithm based on improved ResNet and BiLSTM and a Knowledge Review algorithm based on ECA ...
Chengwen Fan
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Yonghua Huo, Ying Liu, Wei Huang, Chengwen Fan, Yang Yang: Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models. BMSB 2023: 1-6.
Yonghua Huo's research works | Beijing Jiaotong ...
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Yonghua Huo's 26 research works with 68 citations, including: Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models.
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Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models.BMSB 2023: 1-6. paper. [c79]. Unranked. Yanbo Liu, Zhe Xiao, Honglin Fang, Yang ...
Fault Diagnosis Method of Power Electronic Equipment ...
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Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models. Conference Paper. Jun 2023. Yonghua Huo · Ying Liu · Wei Huang · Yang Yang · View.
Advanced AIoT for failure classification of industrial diesel ...
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由 PN Thanh 著作2024被引用 7 次 — This research proposed a novel AIoT system to classify failure conditions of diesel generators based on hybrid deep learning algorithms.
Yonghua Huo
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Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models. ... A Fault Prediction Method Based on Load-capacity Model in the ...
Research on the Method of Diagnosing Fault and Locating ...
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Fault Prediction of IoT Terminals based on Improved ResNet and BiLSTM Models · Yonghua HuoY. LiuWei HuangChengwen FanYang Yang. Computer Science, Engineering.
2024 2nd International Conference on Mechatronics, IoT ...
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2024年6月12日 — Research on Text Sentiment Classification and Recognition Based on Improved BiLSTM and TextCNN pp. ... Research on Fault Prediction System ...
Improved Resnet Model Based on Positive Traffic Flow for ...
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由 Q Li 著作2023被引用 2 次 — The outcomes demonstrate that the algorithm performs better at identifying aberrant traffic in the IoT than the original residual neural network. The accuracy ...
缺少字詞： Fault Terminals BiLSTM