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
Subject
Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering
Reference151 articles.
1. In-stream Escherichia Coli Modeling Using high-temporal-resolution data with deep learning and process-based models;Abbas;Hydrol. Earth Syst. Sci. Discuss.,2021
2. Agarap, A.F. 2017. An architecture combining convolutional neural network (CNN) and support vector machine (SVM) for image classification. arXiv preprint arXiv:1712.03541.
3. Rainfall, phycocyanin, and N: P ratios related to cyanobacterial blooms in a Korean large reservoir;Ahn;Hydrobiologia,2002
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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