Algorithm detection performance. by Kangning Li (6069629)

“…The experimental results demonstrate that the improved YOLOv5 algorithm exhibits high mAP and accuracy in bearing defect detection, enabling more precise identification the types of small target defects on bearings in complex scenarios with multiple coexisting defects and overlapping detection targets, thereby providing valuable reference for practical bearing defect detection.…”

Results from Cell-TRACTR and model overview for object detection. by Owen M. O’Connor (11965460)

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

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Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

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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Detection results for short, spur, and spurious-copper defects. by Yazhou Li (277980)

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

“…The experimental results demonstrate that the improved YOLOv5 algorithm exhibits high mAP and accuracy in bearing defect detection, enabling more precise identification the types of small target defects on bearings in complex scenarios with multiple coexisting defects and overlapping detection targets, thereby providing valuable reference for practical bearing defect detection.…”

Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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Detection results for missing hole, mouse bite, and open-circuit defects. by Yazhou Li (277980)

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

“…The experimental results demonstrate that the improved YOLOv5 algorithm exhibits high mAP and accuracy in bearing defect detection, enabling more precise identification the types of small target defects on bearings in complex scenarios with multiple coexisting defects and overlapping detection targets, thereby providing valuable reference for practical bearing defect detection.…”

The gene network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

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The SNP network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

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Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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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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(a): Sample statistical graphs of different types of defects. by Yazhou Li (277980)

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Diagram of 6 common types of PCB defect displays. by Yazhou Li (277980)

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Raw experimental data. by Yazhou Li (277980)

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