Mouldboard plough body working resistance response surface. حسب Xueting Ma (390540)

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The composition of the body of a mouldboard plough. حسب Xueting Ma (390540)

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Mouldboard plough body resistance diagram with different mouldboard plough surface convex structure radii. حسب Xueting Ma (390540)

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Soil disturbance response surface curved surface. حسب Xueting Ma (390540)

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ANOVA for the quadratic polynomial regression model of mouldboard plough body working resistance. حسب Xueting Ma (390540)

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Selection of soil particle sampling points. حسب Xueting Ma (390540)

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The overall structure of the device. حسب Xueting Ma (390540)

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Static analysis results. حسب Xueting Ma (390540)

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Changes in mouldboard plough body resistance at different lugs angles. حسب Xueting Ma (390540)

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Correlation and principal component analysis. حسب Jie Wei (264772)

Mediation effect of muscle strength on the associations of obesity with incidence of knee OA. حسب Laijun Yan (19797455)

Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. حسب Shi Huang (125861)

Development and Use of a Galectin-1-Specific Nanobody for Tumor Imaging and Elucidating the Role of Galectin‑1 in Cancer حسب Philippine Granger Joly de Boissel (21688159)

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Architecture of Swin-T model. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Model the experimental results curve. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Results of comparison experiments. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Architecture of Swin Transformer Block. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Disease distribution map of the GZDL-BD. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Token merging module. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Comparative results of the ablation experiments. حسب Wen-Qing Huang (5258126)

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"