Algorithm detection performance. by Kangning Li (6069629)

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Different algorithms for bearing defect detection performance. by Kangning Li (6069629)

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Model structure of the Small_obj algorithm. by Kangning Li (6069629)

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Ablation study on the improved YOLOv5 algorithm. by Kangning Li (6069629)

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Model structural of the improved YOLOv5 algorithm. by Kangning Li (6069629)

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Structural diagram of the overall SCF-YOLO algorithm. by Yazhou Li (277980)

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Algorithm performance in different operational phases. by Dongqing Zhang (423941)

Comparative prediction performance analysis of different algorithms. by Dongqing Zhang (423941)

Results of the bearing defect detection. by Kangning Li (6069629)

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Comparison of the semantic features of the C2f module and SCF module; (a) Semantic feature map for C2f Module; (b) Semantic feature map of the SCF module. by Yazhou Li (277980)

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Fitness curves for each algorithm. by Minan Tang (20389941)

“…Then, the CPO-CNN classification model is used for feature extraction and feature selection of the time-frequency diagrams and classification of multiple power quality disturbances. …”

Mosaic dataset augmentation. by Kangning Li (6069629)

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Three types of loss curves. by Kangning Li (6069629)

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The structure of the Res2Block module. by Kangning Li (6069629)

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The structure of the BiFPN. by Kangning Li (6069629)

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Randomly adding Gaussian white noise. by Kangning Li (6069629)

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Bearing defect dataset. by Kangning Li (6069629)

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Time-frequency feature extraction flowchart. by Minan Tang (20389941)

“…Then, the CPO-CNN classification model is used for feature extraction and feature selection of the time-frequency diagrams and classification of multiple power quality disturbances. …”

PR curves of SCF-YOLO detection results. by Yazhou Li (277980)

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Confusion matrix of SCF-YOLO detection results. by Yazhou Li (277980)

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