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JUAN LIU

Guangzhou University

Guangzhou Higher Education Mega Center

Waihuanxi Road 230

Guangzhou, 510006

China

SCHOLARLY PAPERS

4

DOWNLOADS

136

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Interpretable Machine Learning for Predicting Heavy Metal Removal and Optimizing Biochar Characteristics

Number of pages: 59 Posted: 08 Aug 2024
Foshan University, Foshan University, Shenyang Agricultural University, Zhejiang University of Science and Technology, South China University of Technology, affiliation not provided to SSRN, Bio-Form Biotechnology (Guangdong) Co., Ltd., Foshan University and Guangzhou University
Downloads 52 (1,063,489)

Abstract:

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Biochar, remediation strategies, environmental sustainability, adsorption mechanisms

2.

Interpretable machine learning with closed-loop feedback for optimizing biochar-based antimony(III) adsorption

Number of pages: 34 Posted: 27 Sep 2025
Foshan University, Foshan University, Zhejiang University of Science and Technology, Qufu Normal University, Foshan University, Guangzhou University, Fuyang Normal University, Guangdong Polytechnic of Environmental Protection Engineering, Guangzhou University and Foshan University
Downloads 37 (1,222,651)

Abstract:

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Nano-biochar, interpretability, heavy metal, Water remediation

3.

Stable Thallium (Tl) Isotopic Signature as a Reliable Source Tracer in River Sediments Impacted by Mining Activities

Number of pages: 21 Posted: 14 Sep 2022
Guangzhou University, Guangzhou University, Guangzhou University, Guangzhou University, Guangzhou University and Guangzhou University
Downloads 29 (1,332,057)

Abstract:

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Tl contamination, Tl isotope, River sediments, Source apportionment, Migration pathway

4.

Interpretable Machine Learning with Closed-Loop Feedback for Optimizing Biochar-Based Sb(Iii) Adsorption

Number of pages: 36 Posted: 26 May 2025
Foshan University, Zhejiang University of Science and Technology, Foshan University, Foshan University, Foshan University, Foshan University, Shenyang Agricultural University, Guangzhou University, Fuyang Normal University, Guangdong Polytechnic of Environmental Protection Engineering and Foshan University
Downloads 18 (1,470,786)

Abstract:

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Machine learning, interpretability, closed-loop feedback, heavy metal