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      Cloud based evaluation of databases for stock market data MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model Real-time trajectory privacy protection based on improved differential privacy method and deep learning model RDPNet: a single-path lightweight CNN with re-parameterization for CPU-type edge devices
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      Cloud based evaluation of databases for stock market data

      Sep 29, 2022
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      MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects

      Sep 29, 2022
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      Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model

      Sep 29, 2022
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      Real-time trajectory privacy protection based on improved differential privacy method and deep learning model

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      RDPNet: a single-path lightweight CNN with re-parameterization for CPU-type edge devices

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      • Cloud based evaluation of databases for stock market data
        Springer Open
        Cloud based evaluation of databases for stock market data
      • MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
        Springer Open
        MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
      • Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
        Springer Open
        Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
      • Real-time trajectory privacy protection based on improved differential privacy method and deep learning model
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        Real-time trajectory privacy protection based on improved differential privacy method and deep learning model
      • Cloud based evaluation of databases for stock market data
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        Cloud based evaluation of databases for stock market data
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      • Cloud based evaluation of databases for stock market data
        Springer Open
        Cloud based evaluation of databases for stock market data
      • MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
        Springer Open
        MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
      • Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
        Springer Open
        Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
      • Real-time trajectory privacy protection based on improved differential privacy method and deep learning model
        Springer Open
        Real-time trajectory privacy protection based on improved differential privacy method and deep learning model
      MDPI

      Materials, Vol. 14, Pages 3723: Thermally-Induced Deformations and Warpages of Flip-Chip and 2.5D IC Packages Measured by Strain Gauges

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