MGPC module. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Comparative experiment. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Pruning experiment. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Parameter setting table. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

DTADH module. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Ablation experiment. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Multi scale detection. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

MFDPN module. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Detection effect of different sizes. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Radar chart comparing indicators. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

MFD-YOLO structure. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Detection results of each category. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Data. by Su Hwan Park (15158181)

“…In the progression group, BCVA reduction was correlated with area decrease (β = 0.571, P = 0.010). …”

Smoking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Drinking Behaviors of the male participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

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Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021. by Shi Huang (125861)

Subjects:

Drinking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Sleep and Mental health of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030. by Shi Huang (125861)

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