Practical application of machine learning for organic matter and harmful algal blooms in freshwater systems: A review
Author:
Affiliation:
1. Department of Environment and Energy, Sejong University, Seoul, Gwangjin-gu, South Korea
2. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Seongbuk-gu, South Korea
Funder
Development of Source Identification and Apportionment Methods for Toxic Substances in Marine Environments Program of Korea Institute of Marine Science & Technology Promotion
Development of Living Shoreline Technology based on Blue Carbon Science toward Climate Change Adaptation project of the Korea Institute of Marine Science & Technology Promotion
Publisher
Informa UK Limited
Subject
Pollution,Waste Management and Disposal,Water Science and Technology,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10643389.2023.2285691
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4. Analysis of algal bloom intensification in mid-Ganga river, India, using satellite data and neural network techniques
5. Biecek, P., & Burzykowski, T. (2021). Explanatory model analysis: Explore, explain, and examine predictive models. Chapman and Hall/CRC.
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