Optimized Ensemble Machine Learning Models for Predicting Phytoplankton Absorption Coefficients

Machine learning (ML) model provides an alternative method for the estimation of inherent optical properties (IOPs) in clear and coastal waters. This study introduces an effective approach by employing ensemble machine learning techniques, such as random forest, gradient boosting, extra tree, adaboo...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Alam, Md Shafiul, Tiwari, Surya Prakash, Rahman, Syed Masirur
Format:	Artikel
Sprache:	eng
Schlagworte:	Absorption Absorptivity Coastal waters Data models ensemble models Errors feature importance Machine learning Ocean models Optical properties Phytoplankton Phytoplankton absorption coefficients Plankton Predictive models Random forests Regression tree analysis remote sensing reflectance Sea measurements Wavelengths
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!