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

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 Science, 70(1):-

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