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A Robust Gaussian Process Paradigm for Predictive Modeling on Small Data sets in Environmental Science: A Case Study in Ballasted Flocculation.

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Title: A Robust Gaussian Process Paradigm for Predictive Modeling on Small Data sets in Environmental Science: A Case Study in Ballasted Flocculation.
Authors: Ma Z; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Ye C; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Lu C; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Wei Q; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Zhu R; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Xie X; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Zhong S; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Chu W; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Xu Z; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Source: Environmental science & technology [Environ Sci Technol] 2026 Jan 13; Vol. 60 (1), pp. 748-759. Date of Electronic Publication: 2025 Dec 26.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A Robust Gaussian Process Paradigm for Predictive Modeling on Small Data sets in Environmental Science: A Case Study in Ballasted Flocculation.
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  Data: <searchLink fieldCode="AU" term="%22Ma+Z%22">Ma Z</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Ye+C%22">Ye C</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Lu+C%22">Lu C</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Wei+Q%22">Wei Q</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Zhu+R%22">Zhu R</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Xie+X%22">Xie X</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Zhong+S%22">Zhong S</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Chu+W%22">Chu W</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.<br /><searchLink fieldCode="AU" term="%22Xu+Z%22">Xu Z</searchLink>; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
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  Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2026 Jan 13; Vol. 60 (1), pp. 748-759. <i>Date of Electronic Publication: </i>2025 Dec 26.
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        Value: 10.1021/acs.est.5c12617
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              Text: 2026 Jan 13
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