19 آبان 1403
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مرکز تحقیقات کیفیت آب

دانشگاه علوم پزشکی تهران

  • تاریخ انتشار : 1402/10/02 - 13:24
  • تعداد بازدید کنندگان خبر : 51
  • 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 (Treculia africana)

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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)
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استنادات
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),138
Abstract:
 
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 خبری : پژوهش,مقالات علمی
  • کد خبر : 253486
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