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      A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data

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          CBAM: Convolutional Block Attention Module

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            Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

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              Class-Balanced Loss Based on Effective Number of Samples

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                Author and article information

                Contributors
                Journal
                Applied Intelligence
                Appl Intell
                Springer Science and Business Media LLC
                0924-669X
                1573-7497
                September 2023
                May 30 2023
                September 2023
                : 53
                : 18
                : 21312-21324
                Article
                10.1007/s10489-023-04701-6
                433986a2-0d6b-4d15-9f8f-35713b9669f8
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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