A novel framework to predict chlorophyll-a concentrations in water bodies through multi-source big data and machine learning algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-27886-2.pdf
Reference61 articles.
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4. Ao Y, Li H, Zhu L, Ali S, Yang Z (2019) The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling. J Petrol Sci Eng 174:776–789
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