Synopsis of recent research by authors named "Yujun Zuo"
Yujun Zuo's research focuses on advancing methodologies for identifying risk factors related to environmental hazards and health issues, particularly in the mining and medical fields.!
In the article titled "Research on an identification model for mine water inrush sources based on the HBA-CatBoost algorithm," Zuo develops a novel model that combines a hybrid bat algorithm with a gradient boosting approach to enhance the identification of potential water hazards in mining operations.!
Additionally, Zuo's work in metagenomic capture sequencing contributes to medical diagnostics, specifically improving the detection of atypical scrub typhus in cases where initial diagnoses are misleading, highlighting the importance of advanced sequencing techniques in pathogen identification.!
