Search alternatives:
edge detection » time detection (Expand Search), case detection (Expand Search)
multiple edge » multiple age (Expand Search), multiple dengue (Expand Search), multiple bile (Expand Search)
edge detection » time detection (Expand Search), case detection (Expand Search)
multiple edge » multiple age (Expand Search), multiple dengue (Expand Search), multiple bile (Expand Search)
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The qualitative comparisons on TNO 02.png.
Published 2025“…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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The spatial attention wo proposed (MHSA).
Published 2025“…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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Dual-branch multilevel fusion module (DMFM).
Published 2025“…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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The qualitative comparisons on TNO 01.png.
Published 2025“…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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The framework of method we proposed (DMCM).
Published 2025“…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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Configuration of training parameters.
Published 2025“…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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The principle of surface compression.
Published 2025“…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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Accuracy comparison results.
Published 2025“…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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Schematic diagram of YOLOv5ds structure.
Published 2025“…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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Schematic diagram of YOLOv5ds-RC structure.
Published 2025“…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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Cropped image block diagram.
Published 2025“…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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Class-specific Joint Feature Screening in Ultrahigh-dimensional Mixture Regression*
Published 2025“…The new method is built upon a sparsity-restricted expectation-approximation-maximization algorithm, which simultaneously removes varying sets of irrelevant features from multiple latent classes. …”
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Data Sheet 1_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.csv
Published 2025“…Community detection identified groups of closely related diseases using the Louvain algorithm. …”
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Table 2_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.xlsx
Published 2025“…Community detection identified groups of closely related diseases using the Louvain algorithm. …”
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Table 1_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.docx
Published 2025“…Community detection identified groups of closely related diseases using the Louvain algorithm. …”