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  1. 1

    Confusion Matrix of LSTM. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  2. 2

    Convolutional Neural Network. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  3. 3

    LSTM Network Structure. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  4. 4

    Overlapping sampling process. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  5. 5

    Generative Adversarial Network. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  6. 6

    Sawtooth mesh distortion. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  7. 7

    Performance Comparison of Models. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  8. 8

    Confusion Matrix of RBFNN. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  9. 9

    PCC-optimized GAN model. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  10. 10

    J-C damage model parameters. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  11. 11

    Measurement of saw blade wear value. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  12. 12

    Basic structure model of saw blade. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  13. 13

    PCC P-value cloud map. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  14. 14

    PCC R-value cloud map. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  15. 15

    PCC R-value cloud map. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  16. 16

    PCC P-value cloud map. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  17. 17

    J-C constitutive model parameters. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  18. 18

    Training set prediction results. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  19. 19

    Test set identification confusion matrix. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
  20. 20

    Prediction framework for circular saw blade wear. by Chao Zeng (452370)

    Published 2025
    “…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”