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DualLSTM: A novel key-quality prediction for a hierarchical cone thickener

  • Published:2023-08 Issue: Volume:137 Page:105566
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Lei Yongxiang,Karimi Hamid RezaORCID

Funder

China Scholarship Council

Horizon 2020 Marie Skłodowska-Curie Actions

HORIZON EUROPE Marie Sklodowska-Curie Actions

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference40 articles.

1. Dynamic Black Litterman portfolios with views derived via CNN-BiLSTM predictions;Barua;Finance Research Letters,2022

2. A RUL prediction method of small sample equipment based on DCNN-BiLSTM and domain adaptation;Chen;Mathematics,2022

3. FRA-LSTM: A vessel trajectory prediction method based on fusion of the forward and reverse sub-network;Chen,2022

4. Accurate workload prediction for edge data centers: Savitzky–Golay filter, CNN and BiLSTM with attention mechanism;Chen;Applied Intelligence,2022

5. MSWR-LRCN: a new deep learning approach to remaining useful life estimation of bearings;Chen;Control Engineering Practice,2022

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