A review of the artificial neural network models for water quality prediction
Water quality prediction plays an important role in environmental monitoring, ecosystem
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …
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 …
[HTML][HTML] A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction
L Chen, T Wu, Z Wang, X Lin, Y Cai - Ecological Indicators, 2023 - Elsevier
With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …
being increasingly worsened, and has caused a series of ecological and environmental …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
Assessment of stream quality and health risk in a subtropical Turkey river system: A combined approach using statistical analysis and water quality index
The effect of agricultural activities and domestic pollution on water quality in the Turnasuyu
Basin was evaluated. Sampling was performed during the period of a hydrological year …
Basin was evaluated. Sampling was performed during the period of a hydrological year …
Potential toxic elements in sediment of some rivers at Giresun, Northeast Turkey: A preliminary assessment for ecotoxicological status and health risk
The concentration of globally alarming potential toxic elements (PTEs) like Aluminum (Al),
chrome (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn) …
chrome (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn) …
Advances in machine learning modeling reviewing hybrid and ensemble methods
The conventional machine learning (ML) algorithms are continuously advancing and
evolving at a fast-paced by introducing the novel learning algorithms. ML models are …
evolving at a fast-paced by introducing the novel learning algorithms. ML models are …
Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms
JC Egbueri, JC Agbasi - Environmental Science and Pollution Research, 2022 - Springer
In recent decades, the simulation and modeling of water quality parameters have been
useful for monitoring and assessment of the quality of water resources. Moreover, the use of …
useful for monitoring and assessment of the quality of water resources. Moreover, the use of …
Assessment of spatial and temporal variation of ecological environment quality in Ebinur Lake Wetland National Nature Reserve, **njiang, China
Y **g, F Zhang, Y He, VC Johnson, M Arikena - Ecological Indicators, 2020 - Elsevier
Remote sensing technology can objectively and quantitatively evaluate spatial-temporal
change of ecological environmental quality. This paper uses images from Landsat5 …
change of ecological environmental quality. This paper uses images from Landsat5 …
Prediction of hydropower generation using grey wolf optimization adaptive neuro-fuzzy inference system
Hydropower is among the cleanest sources of energy. However, the rate of hydropower
generation is profoundly affected by the inflow to the dam reservoirs. In this study, the Grey …
generation is profoundly affected by the inflow to the dam reservoirs. In this study, the Grey …