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  1. No Access

    Article

    Improving multi-step prediction performance of multi-channel QoT over optical backbone networks: deep echo state attention network

    Multi-channel transmission mode is the mainstream in real optical system scenarios, and its precise prediction of the optical channel quality of transmission (QoT) can provide guidance for the connections rout...

    **aochuan Sun, Difei Cao, Mingxiang Hao, Zhigang Li, Yingqi Li in Optical Review (2024)

  2. No Access

    Article

    Investigating Electromagnetic Acoustic Emission Signals Denoising for Alloy Materials Nondestructive Testing: A CRQA Method

    Aiming at the problem that signals collected from local electromagnetic loading operations are usually mixed with background noises (especially white noise), this paper proposed an electromagnetic acoustic emi...

    Qiuyue Li, Yushu Lai, Difei Cao in Russian Journal of Nondestructive Testing (2024)

  3. No Access

    Article

    Multivariate Prediction Framework of Ocean Sensing Data Assisting Red Tide Early warning

    In red tide early waring, multivariate ocean sensing data prediction has been the current technical mainstream. This prediction pattern can effectively capture the impact information of nonpredictive ocean env...

    **aochuan Sun, Difei Cao, **anchuang Fan… in Arabian Journal for Science and Engineering (2023)

  4. No Access

    Article

    Investigating Neural Activation Effects on Deep Belief Echo-State Networks for Prediction Toward Smart Ocean Environment Monitoring

    Ocean sensor data prediction has become a promising means for smart ocean monitoring. In alternative solutions, deep neural networks (DNNs) are considered as a good choice. The determination of activation func...

    Zhigang Li, Jialin Wang, Difei Cao… in Arabian Journal for Science and Engineering (2021)