Wastewater treatment and reuse for sustainable water resources management: a systematic literature review
JA Silva - Sustainability, 2023 - mdpi.com
Wastewater treatment involves the extraction of pollutants, removal of coarse particles, and
elimination of toxicants. Moreover, wastewater treatment kills pathogens and produces bio …
elimination of toxicants. Moreover, wastewater treatment kills pathogens and produces bio …
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 …
Data to intelligence: The role of data-driven models in wastewater treatment
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …
important. An emerging approach to addressing this issue is to exploit development in data …
Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater …
Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …
environment quality. The complexity of natural conditions, influent shock, and wastewater …
Wastewater treatment plant performance analysis using artificial intelligence–an ensemble approach
In the present study, three different artificial intelligence based non-linear models, ie feed
forward neural network (FFNN), adaptive neuro fuzzy inference system (ANFIS), support …
forward neural network (FFNN), adaptive neuro fuzzy inference system (ANFIS), support …
Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques
M El-Rawy, MK Abd-Ellah, H Fathi… - Journal of Water Process …, 2021 - Elsevier
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 …
Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)
Viscosity is a significant physical property of nanofluids in practical heat transfer
applications. No general model is capable for accurate prediction of nanofluid viscosity in a …
applications. No general model is capable for accurate prediction of nanofluid viscosity in a …
[HTML][HTML] A predictive analytics model for COVID-19 pandemic using artificial neural networks
The COVID-19 pandemic spread rapidly around the world and is currently one of the most
leading causes of death and heath disaster in the world. Turkey, like most of the countries …
leading causes of death and heath disaster in the world. Turkey, like most of the countries …
Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters
H Zare Abyaneh - Journal of Environmental Health Science and …, 2014 - Springer
This paper examined the efficiency of multivariate linear regression (MLR) and artificial
neural network (ANN) models in prediction of two major water quality parameters in a …
neural network (ANN) models in prediction of two major water quality parameters in a …
Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion
The objective of this study is to apply machine learning models to accurately predict daily
biomethane production in an industrial-scale co-digestion facility. The methodology involved …
biomethane production in an industrial-scale co-digestion facility. The methodology involved …