4 citations · 6 across the 5 of their papers we have counts for
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…
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…
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function
Hongye Zheng, Bingxing Wang, Minheng Xiao +3
Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter…