Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches.
Saved in:
| Title: | Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches. |
|---|---|
| Authors: | Uddin MG; School of Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland. Electronic address: mdgalal.uddin@universityofgalway.ie., Nash S; School of Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland., Rahman A; School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, Australia; The Gulbali Institute of Agriculture, Water and Environment, Charles Sturt University, Wagga Wagga, Australia., Dabrowski T; Marine Institute, Rinville, Ireland., Olbert AI; School of Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland. |
| Source: | Environmental research [Environ Res] 2024 Feb 01; Vol. 242, pp. 117755. Date of Electronic Publication: 2023 Nov 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
