[HTML][HTML] A review of the application of machine learning in water quality evaluation
M Zhu, J Wang, X Yang, Y Zhang, L Zhang… - Eco-Environment & …, 2022 - Elsevier
With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …
has become an important tool for data analysis, classification, and prediction. Unlike …
[HTML][HTML] The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
H Kamyab, T Khademi, S Chelliapan… - Results in …, 2023 - Elsevier
The effective management of water resources is essential to environmental stewardship and
sustainable development. Traditional approaches to water resource management (WRM) …
sustainable development. Traditional approaches to water resource management (WRM) …
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 …
Application of machine learning in intelligent fish aquaculture: A review
Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …
technology has been extensively applied in aquaculture in recent years, providing a new …
Predicting standardized streamflow index for hydrological drought using machine learning models
S Shamshirband, S Hashemi, H Salimi… - Engineering …, 2020 - Taylor & Francis
Hydrological droughts are characterized based on their duration, severity, and magnitude.
Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in …
Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in …
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network …
Accurate daily solar radiation prediction is a crucial task for the management and generation
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
[HTML][HTML] Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
S Samadianfard, S Hashemi, K Kargar, M Izadyar… - Energy Reports, 2020 - Elsevier
Wind power as a renewable source of energy has numerous economic, environmental, and
social benefits. To enhance and control renewable wind power, it is vital to utilize models …
social benefits. To enhance and control renewable wind power, it is vital to utilize models …
Modeling pan evaporation using Gaussian process regression K-nearest neighbors random forest and support vector machines; comparative analysis
Evaporation is a very important process; it is one of the most critical factors in agricultural,
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
Deep learning for prediction of water quality index classification: tropical catchment environmental assessment
River water quality modeling using crucial artificial intelligent (AI) models has become an
essential tool for river assessment and management. The simplified approach of river health …
essential tool for river assessment and management. The simplified approach of river health …
Estimation of total dissolved solids (TDS) using new hybrid machine learning models
The overall quality of Groundwater (GW) is important, primarily because it determines the
suitability of water for drinking, irrigation, and domestic purposes. In this study, the adaptive …
suitability of water for drinking, irrigation, and domestic purposes. In this study, the adaptive …