5 papers
An Improved Dung Beetle Optimizer for Random Forest Optimization
Lianghao Tan, Xiaoyi Liu, Dong Liu +3
To improve the convergence speed and optimization accuracy of the Dung Beetle Optimizer (DBO), this paper proposes an improved algorithm based on circle mapping and longitudinal-ho…
CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites
Xiaoyi Liu, Ruina Du, Lianghao Tan +4
Ensuring safety on construction sites is critical, with helmets playing a key role in reducing injuries. Traditional safety checks are labor-intensive and often insufficient. This…
Enhancing Skin Lesion Diagnosis with Ensemble Learning
Xiaoyi Liu, Zhou Yu, Lianghao Tan +2
Skin lesions are an increasingly significant medical concern, varying widely in severity from benign to cancerous. Accurate diagnosis is essential for ensuring timely and appropria…
Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention
Xiaoyi Liu, Zhou Yu, Lianghao Tan
Many people die from lung-related diseases every year. X-ray is an effective way to test if one is diagnosed with a lung-related disease or not. This study concentrates on categori…
Enhanced Self-Checkout System for Retail Based on Improved YOLOv10
Lianghao Tan, Shubing Liu, Jing Gao +3
With the rapid advancement of deep learning technologies, computer vision has shown immense potential in retail automation. This paper presents a novel self-checkout system for ret…