Search alternatives:
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
cnn decrease » nn decrease (Expand Search), mean decrease (Expand Search), a decrease (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
cnn decrease » nn decrease (Expand Search), mean decrease (Expand Search), a decrease (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
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CNN model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
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Mask R-CNN training loss graph.
Published 2024“…The reported scale and decreased to a value close to 0 indicates that the model has effectively learned from the training data, enabling it to recognize object shapes and make accurate classifications.…”
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Detailed breakdown of sex-biased model performance across different sex-specific test subsets.
Published 2025Subjects: -
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Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection.
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Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis.
Published 2025Subjects: -
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Model accuracy by sex and synovial recess distension in test sub-populations.
Published 2025Subjects: -
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Grad-CAM visualizations of the sex-classification model applied to knee joint ultrasound images.
Published 2025Subjects: -
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Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis.
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Grad-CAM visualizations of the sex-classification model applied to knee joint ultrasound images.
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Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection.
Published 2025Subjects: -
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Table 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.xlsx
Published 2025“…<p>The speed of urbanization around the world is decreasing the arable land endangering food security since the population is estimated to reach 9.7 billion by the year 2050. …”