Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level

Author:

Baek Sang-Soo,Jung Eun-Young,Pyo JongCheol,Pachepsky Yakov,Son HeejongORCID,Cho Kyung Hwa

Funder

Korea Environmental Industry and Technology Institute

National Research Foundation of Korea

Ministry of Environment

Ministry of Science and ICT, South Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference151 articles.

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4. A review of data-driven building energy consumption prediction studies;Amasyali;Renewable Sustainable Energy Rev.,2018

5. Modeling cyanobacterial blooms in tropical reservoirs: the role of physicochemical variables and trophic interactions;Amorim;Sci. Total Environ.,2020

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