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Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process Cover

Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process

International Journal on Smart Sensing and Intelligent Systems
Volume 14 (2021): Issue 1 (January 2021)
By: M. H. Husin,  M. F. Rahmat,  N. A. Wahab and  M. F. M. Sabri  
Open Access
|Sep 2021

Authors

M. H. Husin

Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Sarawak, Malaysia

M. F. Rahmat

fuaad@utm.my

School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

N. A. Wahab

School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

M. F. M. Sabri

Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Sarawak, Malaysia
DOI: https://doi.org/10.21307/ijssis-2021-016 | Journal eISSN: 1178-5608
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Language: English
Page range: 1 - 16
Submitted on: May 25, 2021
Accepted on: Aug 26, 2021
Published on: Sep 23, 2021
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
ABAC,
Effluent,
Energy consumption,
Neural network,
Wastewater treatment
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2021 M. H. Husin, M. F. Rahmat, N. A. Wahab, M. F. M. Sabri, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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