Performance improvement of wastewater treatment processes by application of machine learning.

Icke, O; van Es, D M; de Koning, M F; Wuister, J J G; Ng, J; Phua, K M; Koh, Y K K; Chan, W J; Tao, G

Icke, O; van Es, D M; de Koning, M F; Wuister, J J G; Ng, J; Phua, K M; Koh, Y K K; Chan, W J; Tao, G.

Affiliation

Icke O; Aquasuite, Royal HaskoningDHV, Laan 1914 35, 3818 EX Amersfoort, The Netherlands E-mail: otto.icke@rhdhv.com.
van Es DM; Aquasuite, Royal HaskoningDHV, Laan 1914 35, 3818 EX Amersfoort, The Netherlands E-mail: otto.icke@rhdhv.com.
de Koning MF; Aquasuite, Royal HaskoningDHV, Laan 1914 35, 3818 EX Amersfoort, The Netherlands E-mail: otto.icke@rhdhv.com.
Wuister JJG; Aquasuite, Royal HaskoningDHV, Laan 1914 35, 3818 EX Amersfoort, The Netherlands E-mail: otto.icke@rhdhv.com.
Ng J; PUB, Singapore's National Water Agency, 40 Scotts Rd, Singapore 228231, Singapore.
Phua KM; PUB, Singapore's National Water Agency, 40 Scotts Rd, Singapore 228231, Singapore.
Koh YKK; PUB, Singapore's National Water Agency, 40 Scotts Rd, Singapore 228231, Singapore.
Chan WJ; PUB, Singapore's National Water Agency, 40 Scotts Rd, Singapore 228231, Singapore.
Tao G; PUB, Singapore's National Water Agency, 40 Scotts Rd, Singapore 228231, Singapore.

Water Sci Technol ; 82(12): 2671-2680, 2020 Dec.

Article in En | MEDLINE | ID: mdl-33341761

Subject(s)

Artificial Intelligence; Water Purification; Algorithms; Machine Learning; Neural Networks, Computer

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Water Purification Type of study: Prognostic_studies Language: En Journal: Water Sci Technol Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2020 Document type: Article Country of publication: United kingdom

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