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      Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets

      , , ,
      Advanced Engineering Informatics
      Elsevier BV

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          Deep convolutional neural network based planet bearing fault classification

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            Rotate to Attend: Convolutional Triplet Attention Module

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              Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning

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                Author and article information

                Contributors
                Journal
                Advanced Engineering Informatics
                Advanced Engineering Informatics
                Elsevier BV
                14740346
                January 2024
                January 2024
                : 59
                : 102322
                Article
                10.1016/j.aei.2023.102322
                852301c7-57dc-4698-8790-c8b7b48e600a
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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