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方迪
Professor
Supervisor of Doctorate Candidates
School/Department: College of Resources & Environmental Sciences
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral degree
Professional Title:
Professor
Alma Mater:
南京农业大学
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Paper Publications
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Interpretable machine learning for Fenton-based sludge dewatering: Performance analysis and operational windows
Release time:2026-09-10
Hits:
Impact Factor:
7.7
Affiliation of Author(s):
资源与环境科学学院
Journal:
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
Co-author:
Xu Meicai, Li Guangtong, Sun Yuying, Zhong Yingye, Guo Qiaowen, Fang Di, Tarabara Volodymyr, Zheng Min
Correspondence Author:
FD
Document Code:
2c9e868ca06b828501a07eee260b06f4
Volume:
217
Page Number:
-
Translation or Not:
no
Date of Publication:
2026-09-01
Pre One:
Soft sensors in anaerobic digestion: Cross-study insights, applications, and future directions
Next One:
Improvement of Anaerobically Digested Sludge Dewatering by Tannin-Mediated Fenton Conditioning: Significance of Fe(III) Chelation and Reduction