Optimized Ensemble Machine Learning Models for Predicting Phytoplankton Absorption Coefficients-Reference-Cited by-同舟云学术

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Optimized Ensemble Machine Learning Models for Predicting Phytoplankton Absorption Coefficients

Published:2024 Issue: Volume:12 Page:5760-5769
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alam Md. Shafiul¹^ORCID,Tiwari Surya Prakash¹^ORCID,Rahman Syed Masiur¹^ORCID

Affiliation:

1. Applied Research Center for Environment and Marine Studies, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10381700.pdf?arnumber=10381700

Reference29 articles.

1. Analysis of variations in ocean color1

2. Bio-optical properties of oceanic waters: A reappraisal

3. Estimation of chlorophyll- a concentration in case II waters using MODIS and MERIS data—successes and challenges

4. Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea

5. The CMEMS GlobColour chlorophyll <i>a</i> product based on satellite observation: multi-sensor merging and flagging strategies

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