Fuzzy machine learning predictions of settling velocity based on fractal aggregate physical features in water treatment-Reference-Cited by-同舟云学术

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Fuzzy machine learning predictions of settling velocity based on fractal aggregate physical features in water treatment

Published:2024-11 Issue: Volume:67 Page:106138
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Bressane Adriano,Melo Carrie Peres,Sharifi Soroosh,da Silva Pedro Grava,Toda Daniel Hiroshi Rufino,Moruzzi Rodrigo

Funder

Coordination of Higher Education Personnel Improvement

National Council for Scientific and Technological Development

State of Sao Paulo Research Foundation

Publisher

Elsevier BV

Reference58 articles.

1. Optimal water management in macroscopic systems under economic penalty scenarios;Garibay-Rodriguez;AIChE J,2017

2. Quantitative analysis and management of sustainable development of ecological water resources and digital financial system based on an intelligent algorithm;Chen;Water Supply,2023

3. MWH Water Treatment: Principles and Design;Crittenden,2005

4. Towards sustainable water resources management: a case study from Saxony-Anhalt, Germany;Lüderitz;Management of Environmental Quality: An International Journal,2004

5. A water allocation model for multiple uses based on a proposed hydro-economic method;Vichete;Water,2023

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