[HTML][HTML] A Review of AI-Driven Control Strategies in the Activated Sludge Process with Emphasis on Aeration Control

C Monday, MS Zaghloul, D Krishnamurthy, G Achari - Water, 2024 - mdpi.com
Recent concern over energy use in wastewater treatment plants (WWTPs) has spurred
research on enhancing efficiency and identifying energy-saving technologies. Treating one …

Predicting effluent quality parameters for wastewater treatment plant: A machine learning-based methodology

JVR Fuck, MAP Cechinel, J Neves, RC de Andrade… - Chemosphere, 2024 - Elsevier
Abstract Wastewater Treatment Plants (WWTPs) present complex biochemical processes of
high variability and difficult prediction. This study presents an innovative approach using …

Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction

B Senthil Rathi, P Senthil Kumar, S Sanjay… - International Journal of …, 2024 - Springer
Artificial intelligence (AI) is currently making an appearance in the wastewater treatment
industry because of its effectiveness, speed, and independence from human intervention …

Deep learning-based hydrogen leakage localization prediction considering sensor layout optimization in hydrogen refueling stations

S Wang, Y Bi, J Shi, Q Wu, C Zhang, S Huang… - Process Safety and …, 2024 - Elsevier
To address the challenge and reliance on subjective experience in monitoring hydrogen
leaks at hydrogen refueling stations (HRS), a regression prediction model for leakage …

[HTML][HTML] Assessment of nitrification process in a sequencing batch reactor: Modelling and genomic approach

MC Gutiérrez, A Cáceres, AM Herruzo-Ruiz… - Environmental …, 2024 - Elsevier
Nitrification of ammoniacal nitrogen (N–NH 4+) to nitrate (N–NO 3-) was investigated in a lab-
scale sequencing batch reactor (SBR) to evaluate its efficiency. During the nitrification …

Prediction of artificial neural network for sulfate removal from wastewater and application analysis of key factors in anaerobic biological system

Y Yao, Y Li, Y Shi, K Shi, Y Bai, Y Gao, Q Jiang… - Journal of …, 2024 - Elsevier
Prediction and application of the SO 4 2-removal performance of an anaerobic biological
system was conducted through the integration of artificial neural networks (ANNs). The …

Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) prediction model based on limited peat samples using an evolved artificial neural …

SL Wang, TF Ng, K Mohamed, S Dzulkifly, X Li… - Chemosphere, 2024 - Elsevier
Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) are
involuntary by-products of incomplete combustion and are highly toxic to humans and the …

[HTML][HTML] Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich …

M Kumar, R Saraf, SK Behera, R Das, M Aliveli… - Case Studies in …, 2024 - Elsevier
The performance of a packed bed reactor (PBR) containing immobilized sulphate reducing
bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole …

[HTML][HTML] Prediction of Wastewater Treatment Plant Performance through Machine Learning Techniques

H Mahanna, N ELRahsidy, MR Kaloop… - Desalination and Water …, 2024 - Elsevier
This study investigates the use of developed machine learning techniques for modeling the
performance of AlHayer, Saudi Arabia, wastewater treatment plant (ALWTP). Three physio …

Intelligent dosing of sodium hypochlorite in municipal wastewater treatment plants: Experimental and modeling studies

Q Li, X Cui, X Gao, X Chen, H Zhao - Journal of Water Process Engineering, 2024 - Elsevier
Sodium hypochlorite (NaClO), a disinfectant extensively employed in municipal wastewater
treatment plants (WWTPs), is frequently overdosed to ensure qualified effluent quality …