MI-NiDIA: A scalable framework for modeling flocculation kinetics and floc evolution in water treatment

This paper presents a scalable framework for modeling floc evolution and flocculation kinetics in water treatment. Unlike the existing methods that subjects Non-intrusive Dynamic Image Analysis (NiDIA) data to complex mathematical concepts, the proposed software devised a scaling concept for NiDIA d...

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Bibliographic Details

Published in:	Software impacts Vol. 20; p. 100662
Main Authors:	Bankole, Abayomi O., Moruzzi, Rodrigo, Negri, Rogério G., Oishi, Cassio M., Bankole, Afolashade R., James, Abraham O.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2024
Subjects:	Flocculation kinetics Machine learning Non-intrusive image analysis Smart water treatment Non-intrusive image analysis Smart water treatment Flocculation kinetics Machine learning
ISSN:	2665-9638, 2665-9638
Online Access:	Get full text
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