Structurally constrained hybrid modeling for cross-year prediction and mechanistic interpretation of marine biofouling evolution

• Long-term shallow-sea immersion experiments (2019-2024) provided cross-year biofouling data. • A Fouling Severity Index (FSI) provided a stable prediction target. • A structurally constrained evolutionary regression model enabled robust cross-year prediction. • Stage-wise analysis revealed stage-dependent biofouling responses to environmental drivers.

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Publication Details

Journal
Ocean Engineering
Published
2026-05-22
DOI
https://doi.org/10.1016/j.oceaneng.2026.126154
Primary Topic
Marine Biology and Environmental Chemistry
Type
article
Field-Weighted Citation Impact
0.00
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article

Structurally constrained hybrid modeling for cross-year prediction and mechanistic interpretation of marine biofouling evolution

Zhiqiang Cui, Yuanbei Li, Mengting Jia, Haonan Huang et al.
Ocean Engineering
Marine Biology and Environmental Chemistry
article

Structurally constrained hybrid modeling for cross-year prediction and mechanistic interpretation of marine biofouling evolution

Zhiqiang Cui, Yuanbei Li, Mengting Jia, Haonan Huang, Qiang Xu, Yuwei Hong
article en

Abstract

• Long-term shallow-sea immersion experiments (2019-2024) provided cross-year biofouling data. • A Fouling Severity Index (FSI) provided a stable prediction target. • A structurally constrained evolutionary regression model enabled robust cross-year prediction. • Stage-wise analysis revealed stage-dependent biofouling responses to environmental drivers.

Ocean EngineeringVol. 361
Zhejiang Ocean University (CN), Sanya University (CN), Zhejiang University (CN)
Life below water
Openalex Percentile: Top 7%
Marine Biology and Environmental Chemistry
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