مرکز تحقیقات مواد زائد جامد | Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit

مرکز تحقیقات مواد زائد جامد | Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit
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مرکز تحقیقات مواد زائد جامد

دانشگاه علوم پزشکی تهران

  • تاریخ انتشار : 1403/03/13 - 13:25
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  • زمان مطالعه : کمتر از یک دقیقه

Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit

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Title:

Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit (Treculia africana)

Author(s):

Ovuoraye, P.E., Ugonabo, V.I., Fetahi, E., (...), Igwegbe, C.A., Dehghani, M.H.

Published/Type:

2023 (2023-12-1) / Original Article

Journal:

Journal of Engineering and Applied Science70(1):-

Abstract:

FWCI: 1.6

In a recent development, attention has shifted to the application of artificial intelligence for the optimization of wastewater treatment processes. This research compared the performances of the machine learning (ML) model: random forest, decision tree, support vector machine, artificial neural network, convolutional neural network, long-short term memory, and multiple linear regressors for optimization in effluent treatment. The training, testing, and validation datasets were obtained via the design...

Collaborations:

   

View at:

https://jeas.springeropen.com/articles/10.1186/s44147-023-00307-4

  • Article_DOI : 10.1186/s44147-023-00307-4
  • نویسندگان : mohammad hadi dehghani
  • گروه خبر : پژوهش,مقالات علمی
  • کد خبر : 267556
کلمات کلیدی
دریا  امیری
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