A deep neural networks framework for in-situ biofilm thickness detection and hydrodynamics tracing for filtration systems-Reference-Cited by-同舟云学术

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A deep neural networks framework for in-situ biofilm thickness detection and hydrodynamics tracing for filtration systems

Published:2022-11 Issue: Volume:301 Page:121959
ISSN:1383-5866
Container-title:Separation and Purification Technology
language:en
Short-container-title:Separation and Purification Technology

Author:

Qamar Adnan,Kerdi Sarah,Amin Najat,Zhang Xiangliang,Vrouwenvelder Johannes,Ghaffour Noreddine

Funder

Water Desalination and Reuse Center, King Abdullah University of Science and Technology

King Abdullah University of Science and Technology

Publisher

Elsevier BV

Subject

Filtration and Separation,Analytical Chemistry

Reference66 articles.

1. Efficient technologies for worldwide clean water supply;Macedonio;Chem. Eng. Process.,2012

2. Global water scarcity including surface water quality and expansions of clean water technologies;van Vliet;Environ. Res. Lett.,2021

3. UF/MF pre-treatment to RO in seawater and wastewater reuse applications: a comparison of energy costs;Pearce;Desalination,2008

4. Dissolved effluent organic matter: Characteristics and potential implications in wastewater treatment and reuse applications;Michael-Kordatou;Water Res.,2015

5. Organic fouling control in reverse osmosis (RO) by effective membrane cleaning using saturated CO2 solution;Alnajjar;Sep. Purif. Technol.,2021

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