Geosmin and 2-methylisoborneol adsorption using different carbon materials: Isotherm, kinetic, multiple linear regression, and deep neural network modeling using a real drinking water source

Title
Geosmin and 2-methylisoborneol adsorption using different carbon materials: Isotherm, kinetic, multiple linear regression, and deep neural network modeling using a real drinking water source
Authors
이상협최재우Taeho BongJin-Kyu KangViviane YargeauHye-Lim NamSong-Bae KimJeong-Ann Park
Keywords
Carbon materials; Deep neural network modeling; Dissolved organic carbon; Drinking water; Multiple linear regression modeling; Taste and odor compounds
Issue Date
2021-09
Publisher
Journal of cleaner production
Citation
VOL 314-11
URI
http://pubs.kist.re.kr/handle/201004/73273
ISSN
0959-6526
Appears in Collections:
KIST Publication > Article
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