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The Transactions of
the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2023-02
(Vol.72 No.02)
10.5370/KIEE.2023.72.2.255
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References
1
Chuan Li, 2022, A systematic review of deep transfer learning for machinery fault diagnosis, Neurocomputing, Vol. 407, pp. 121-135
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Xiaoling Xu, Li Wensheng, Duan Qingling, 2021, Transfer learning and SE-ResNet152 networks-based for small-scale unbalanced fish species identification, Computers and Electronics in Agriculture, Vol. 180
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Sungnyun Kim, 2020, Mixco: Mix-up contrastive learning for visual representation, arXiv preprint arXiv:2010.06300
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Connor Shorten, 2019, A survey on image data augmentation for deep learning, Journal of big data, Vol. 6, No. 1, pp. 1-48
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Yuantao Chen, 2021, Research on image inpainting algorithm of improved GAN based on two-discriminations networks, Applied Intelligence, Vol. 51, No. 6, pp. 3460-3474
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Rui Zhou, 2022, A highly accurate delta check method using deep learning for detection of sample mix-up in the clinical laboratory, Clinical Chemistry and Laboratory Medicine (CCLM), Vol. 60, No. 12, pp. 1984-1992
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Yubin Park, 2019, Tackling overfitting in boosting for noisy healthcare data, IEEE Transactions on Knowledge and Data Engineering, Vol. 33, No. 7, pp. 2995-3006
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Chen, Guhua, September 2022, A Novel Multi-Sample Data Augmentation Method for Oriented Object Detection in Remote Sensing Images, 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), pp. 26-28
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Neelam Mehala, 2007, Motor current signature analysis and its applications in induction motor fault diagnosis, International journal of systems applications, engineering & development, Vol. 2, No. 1, pp. 29-35
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Long Wen, Gao Liang, 2017, A new deep transfer learning based on sparse auto-encoder for fault diagnosis, IEEE Transactions on systems man and cybernetics: systems, Vol. 49, No. 1, pp. 136-144
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Ji-Hoon Han, 2022, Hyperparameter optimization using a genetic algorithm considering verification time in a convolutional neural network, Journal of Electrical Engineering & Technology, Vol. 15, No. 2, pp. 721-726
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Gyu-Ri Kim, Ui-Jin Choi, Ji-Sung Yang, Seung-Min Song, Ji-Hoon Han, Sun-Ki Hong, 2022, Building a Big Data Set for Deep Learning Fault Diagnosis from Multiple Motors and Comparison of Motor Data Characteristics, KIEE summer conference, pp. 280-281