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Open access Sep 2026

PMDS-YOLO: A Lightweight Deep Learning Model for Non-Destructive Citrus Fruit Diameter Estimation and Quality Grading

Citrus fruit size is a core quality attribute that determines commercial value and market acceptance. In postharvest processing, rapid, accurate, and non-destructive diameter estimation is an essential prerequisite for automated grading, yet existing computer vision methods are difficult to deploy on factory edge devic...

Hang Liu, Zhi-Yong Cao, Zi-Fei Ma et al. · 0 citations
Open access Aug 2026

ASWBoost: Classification algorithm for noisy and imbalanced data based on parametric exponential loss

AdaBoost, a classical boosting ensemble algorithm, is widely applied for its strong classification performance. However, its standard exponential loss is highly sensitive to outliers, prone to overfitting, and inherently biased toward the majority class under class-imbalanced settings, degrading overall performance. To...

Fei Meng, Mei Yan, Hang Liu et al. · 0 citations

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