Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …
applications of AI and ML based models are also reported for monitoring and design of …
[HTML][HTML] Deep learning in wastewater treatment: a critical review
Modelling wastewater processes supports tasks such as process prediction, soft sensing,
data analysis and computer assisted design of wastewater systems. Wastewater treatment …
data analysis and computer assisted design of wastewater systems. Wastewater treatment …
Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms …
Wastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
Exploring potential machine learning application based on big data for prediction of wastewater quality from different full-scale wastewater treatment plants
Water pollution generated from intensive anthropogenic activities has emerged as a critical
issue concerning ecosystem balance and livelihoods worldwide. Although optimizing …
issue concerning ecosystem balance and livelihoods worldwide. Although optimizing …
Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques
Expectation of wastewater quality in wastewater treatment plants (WWTPs) is significant and
can decrease the sampling number, cost, decision time, and energy. This paper presents …
can decrease the sampling number, cost, decision time, and energy. This paper presents …
A novel long short-term memory artificial neural network (LSTM)-based soft-sensor to monitor and forecast wastewater treatment performance
Commercial instrumentation for measurement of various wastewater treatment processes
parameters is costly and time-consuming in wastewater treatment plants (WWTPs). Long …
parameters is costly and time-consuming in wastewater treatment plants (WWTPs). Long …
Performance prediction of trace metals and cod in wastewater treatment using artificial neural network
Artificial intelligence is finding its ways into the mainstream of day-to-day operations. Novel
AI application techniques such as the artificial neural network (ANN), fuzzy logic, genetic …
AI application techniques such as the artificial neural network (ANN), fuzzy logic, genetic …
An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
B Szeląg, E Zaborowska, J Mąkinia - Journal of Water Process Engineering, 2023 - Elsevier
This study presents an advanced algorithm for selecting machine learning (ML) models for
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …
Prediction of wastewater treatment quality using LSTM neural network
Wastewater treatment (WWT) process is used to prevent pollution of water sources,
improves sanitation condition, and reuse the water (mostly for agricultural purposes). One of …
improves sanitation condition, and reuse the water (mostly for agricultural purposes). One of …
A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction
W Liu, T Liu, Z Liu, H Luo, H Pei - Environmental Research, 2023 - Elsevier
Accurate prediction of effluent total nitrogen (E-TN) can assist in feed-forward control of
wastewater treatment plants (WWTPs) to ensure effluent compliance with standards while …
wastewater treatment plants (WWTPs) to ensure effluent compliance with standards while …