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Showing results 5 to 11 of 11

Deep learning with data preprocessing methods for water quality prediction in ultrafiltration File

Shim, Jaegyu , Hong, Seokmin , Lee, Jiye , Lee, Seungyong , Kim, Young Mo , Chon, Kangmin , Park, Sanghun , Cho, Kyung Hwa

Article Issue Date2023-11 View6
Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions File

Park, Sanghun , Shim, Jaegyu , Yoon, Nakyung , Lee, Sungman , Kwak, Donggeun , Lee, Seungyong , Kim, Young Mo , Son, Moon , Cho, Kyung Hwa

Article Issue Date2022-12 View4
Effects of two-step cleaning sequences on foulant extraction from multibore ultrafiltration membranes in a pilot-scale membrane filtration system for surface water treatment File

Rho, Hojung , Kim, Sangwon , Shin, Jaegwan , Cho, Jaeweon , Lee, Yong-Gu , Chon, Kangmin

Article Issue Date2022-06 View9
Evaluation of diffusion coefficients as surrogate indicators for electrostatic repulsion in ultrafiltration membrane fouling File File

Rho, Hojung , Jun, Byung-Moon , Woo, Yun Chul , Park, Chanhyuk , Chon, Kangmin , Cho, Jaeweon

Article Issue Date2023-12 View7
Novel bio-based polymer membranes fabricated from isosorbide-incorporated poly(arylene ether)s for water treatment File

Kim, Dahee , Kim, In-Chul , Kwon, Young-Nam , Myung, Suwan

Article Issue Date2020-08 View8
Poly(isophthalamide) based graft copolymer for the modification of cellulose acetate ultrafiltration membranes and a fouling study by AFM imaging File

Jayalakshmi, A. , Rajesh, S. , Kim, I.C. , Senthilkumar, S. , Mohan, D. , Kwon, Young-Nam

Article Issue Date2014-09 View5
Removal of bisphenol A and 17 beta-estradiol in single walled carbon nanotubes-ultrafiltration (SWNTs-UF) membrane systems File

Heo, Jiyong , Flora, Joseph R. V. , Her, Namguk , Park, Yong-Gyun , Cho, Jaeweon , Son, Ahjeong , Yoon, Yeomin

Article Issue Date2012-04 View7
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