Prediction of effluent quality in a wastewater treatment plant by dynamic neural network modeling

Y Yang, KR Kim, R Kou, Y Li, J Fu, L Zhao… - Process Safety and …, 2022 - Elsevier
Improving the operation, management, and consequent performance of wastewater
treatment plants (WWTPs) for conserving the water environment is crucial. Recent …

Review of latest advances in nature-inspired algorithms for optimization of activated sludge processes

M Deepak, R Rustum - Processes, 2022 - mdpi.com
The activated sludge process (ASP) is the most widely used biological wastewater treatment
system. Advances in research have led to the adoption of Artificial Intelligence (AI), in …

A modified particle swarm optimization algorithm for optimizing artificial neural network in classification tasks

KM Ang, CE Chow, ESM El-Kenawy, AA Abdelhamid… - Processes, 2022 - mdpi.com
Artificial neural networks (ANNs) have achieved great success in performing machine
learning tasks, including classification, regression, prediction, image processing, image …

Artificial neural network (ANN) modeling for the prediction of odor emission rates from landfill working surface

A Xu, R Li, H Chang, Y Xu, X Li, G Lin, Y Zhao - Waste Management, 2022 - Elsevier
Landfills release significant odorous compounds from the working surface, and their
emission rates are crucial for odor and health risk assessment. A total of 99 valid datasets of …

Fault detection of urban wastewater treatment process based on combination of deep information and transformer network

C Peng, M Fanchao - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
As one of the hot issues of concerns during modern social development, the wastewater
treatment process is acknowledged to be a process with complex biochemical reactions and …

Genetic algorithm (GA)-Artificial neural network (ANN) modeling for the emission rates of toxic volatile organic compounds (VOCs) emitted from landfill working surface

R Li, A Xu, Y Zhao, H Chang, X Li, G Lin - Journal of environmental …, 2022 - Elsevier
Volatile organic compounds (VOCs) emitted from the working surface of landfills have
received increasing attention due to the potential risks to human health. Quantifying the …

An intelligent UAV path planning optimization method for monitoring the risk of unattended offshore oil platforms

Y Wang, Y Li, F Yin, W Wang, H Sun, J Li… - Process Safety and …, 2022 - Elsevier
To ensure the safe operation of static and dynamic devices in a limited platform space and
prevent security threats caused by accidents and external intruders, the unmanned aerial …

Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network

Z Liu, HG Han, LX Dong, HY Yang, JF Qiao - Control Engineering Practice, 2022 - Elsevier
Efficient and accurate decision is essential to avoid sludge bulking and ensure the stable
operation of wastewater treatment process (WWTP). However, due to the strong nonlinear …

A quantified nitrogen metabolic network by reaction kinetics and mathematical model in a single-stage microaerobic system treating low COD/TN wastewater

Z Sun, J Li, Y Fan, J Meng - Water Research, 2022 - Elsevier
A single-stage intermittent aeration microaerobic reactor (IAMR) has been developed for the
cost-effective nitrogen removal from piggery wastewater with a low ratio of chemical oxygen …

Artificial intelligence in wastewater treatment systems in the era of industry 4.0: A holistic review

WAM Fernando, SNBA Khadaroo, PE Poh - … and Solutions in the Era of …, 2022 - Springer
Wastewater treatment started off as a simple process to deal with the ecological impact of
human excretion and evolved to complex systems to deal with wastewater generated from …