期刊论文

Wu, Zhibin;Leng, Lijian;Qin, PF

英文

Journal of Hazardous Materials

0304-3894

2024

466

133442

10.1016/j.jhazmat.2024.133442

CRediT authorship contribution statement Pufeng Qin: Writing – review & editing, Supervision. Tian Shen: Writing – review & editing, Writing – original draft, Visualization, Software, Methodology, Investigation, Data curation. Xingzhong Yuan: Resources, acquisition. Haoyi Peng: Writing – review & editing, Investigation. Yunshan Liang: Writing – review & editing. Shengqiang Liu: Resources. Lijian Leng: Writing – review & editing, Writing – original draft, Supervision, Project administration, Investigation, Conceptualization.

本校为第一机构

Due to the broad interest in using biochar from biomass pyrolysis for the adsorption of heavy metals (HMs) in wastewater, machine learning (ML) has recently been adopted by many researchers to predict the adsorption capacity (η) of HMs on biochar. However, previous studies focused mainly on developing different ML algorithms to increase predictive performance, and no study shed light on engineering features to enhance predictive performance and improve model interpretability and generalizability. Here, based on a dataset widely used in previou...