Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater treatment plant

M Kim, Y Kim, H Kim, W Piao, C Kim - Frontiers of Environmental Science …, 2016 - Springer
The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and
four water qualities, namely chemical oxygen demand (COD), suspended solid (SS), total …

Firefly algorithm and its variants in digital image processing: A comprehensive review

N Dey, J Chaki, L Moraru, S Fong, XS Yang - Applications of firefly …, 2020 - Springer
The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

Efficient fault monitoring in wastewater treatment processes with time stacked broad learning network

C Peng, X Ying, M FanChao - Expert Systems with Applications, 2023 - Elsevier
Process monitoring models play an increasingly indispensable role in promptly
differentiating faults within the wastewater treatment process to maintain a safe state. The …

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 …

[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 …

Soft sensor application in identification of the activated sludge bulking considering the technological and economical aspects of smart systems functioning

B Szeląg, J Drewnowski, G Łagód, D Majerek… - Sensors, 2020 - mdpi.com
The paper presented the methodology for the construction of a soft sensor used for activated
sludge bulking identification. Devising such solutions fits within the current trends and …

Artificial intelligence and multivariate statistics for comprehensive assessment of filamentous bacteria in wastewater treatment plants experiencing sludge bulking

N Deepnarain, M Nasr, S Kumari, TA Stenström… - … Technology & Innovation, 2020 - Elsevier
Sludge bulking is an operational hurdle that affects the solid–liquid separation in wastewater
treatment plants (WWTPs) worldwide. In this study, filamentous bulking issues were …

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 …

Ant colony based artificial neural network for predicting spatial and temporal variation in groundwater quality

R Bhavya, K Sivaraj, L Elango - Water, 2023 - mdpi.com
The quality of groundwater is of utmost importance, as it directly impacts human health and
the environment. In major parts of the world, groundwater is the main source of drinking …