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Prediction of Residual Dye Using Machine Learning Algorithm..:
, In:
IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures
,
Lee, Whan
;
Choi, Hye Kyung
;
Sajadieh, Seyed Mohammad Mehdi
.. - p. 491-505 , 2023
Link:
https://doi.org/10.1007/978-3-031-43670-3_34
RT T1
IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures
: T1
Prediction of Residual Dye Using Machine Learning Algorithms for an Eco-Friendly Dyeing Process
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-43670-3_34&Exemplar=1&LAN=DE A1 Lee, Whan A1 Choi, Hye Kyung A1 Sajadieh, Seyed Mohammad Mehdi A1 Do Noh, Sang A1 Son, Hyun Sik PB Springer Nature Switzerland YR 2023 SP 491 OP 505 LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-43670-3_34 DO https://doi.org/10.1007/978-3-031-43670-3_34 SF ELIB - SuUB Bremen
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