New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system
Abstract Recently, hydrogen (H 2) gas has gained prodigious attention as a sustainable
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …
management. Therefore, the present study aimed to analyze and predict the water quality …
Dissolved oxygen forecasting in the Mississippi River: advanced ensemble machine learning models
Dissolved oxygen (DO) is an important variable for rivers, which controls many
biogeochemical processes within rivers and the survival of aquatic species. Therefore …
biogeochemical processes within rivers and the survival of aquatic species. Therefore …
Prediction of total dissolved solids, based on optimization of new hybrid SVM models
Accurate monitoring of water quality is of great importance, especially in arid and semi-arid
countries such as Iran. The Total Dissolved Solids (TDS) plays quite a significant role in …
countries such as Iran. The Total Dissolved Solids (TDS) plays quite a significant role in …
[HTML][HTML] Comparative analysis of machine learning algorithms for water quality prediction
This study aims to identify the influential parameters and heavy metals in water and assess
the water quality classification at the Alpine glacial lakes and rivers in three districts of …
the water quality classification at the Alpine glacial lakes and rivers in three districts of …
An integrated approach based on the correction of imbalanced small datasets and the application of machine learning algorithms to predict total phosphorus …
M Almeida, PS Coelho - Ecological Informatics, 2023 - Elsevier
Abstract Increased concentrations of Total Phosphorus (TP) in freshwater systems lead to
eutrophication and can contribute to a wide range of environmental effects. In the modern …
eutrophication and can contribute to a wide range of environmental effects. In the modern …
[HTML][HTML] Estimating the effect of sand-roughened bed on hydraulic jump characteristics using heuristic models
The hydraulic jump occurs in open channels and downstream of hydraulic structures
because these features change the flow regime from super-critical to sub-critical. To prevent …
because these features change the flow regime from super-critical to sub-critical. To prevent …
[PDF][PDF] Advanced machine learning-based kharif maize evapotranspiration estimation in semi-arid climate
Abstract Accurate Crop Evapotranspiration (ETc) estimation is crucial for understanding
hydrological and agrometeorological processes, yet it's challenged by multiple parameters …
hydrological and agrometeorological processes, yet it's challenged by multiple parameters …
Estimation of coconut maturity based on fuzzy neural network and sperm whale optimization
Coconut water is the clear liquid found inside coconuts, famous for rehydrating after exercise
or while suffering from a minor sickness. The essential issue tackled in this paper is how to …
or while suffering from a minor sickness. The essential issue tackled in this paper is how to …
[HTML][HTML] Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques-taking Shuikou reservoir in the Minjiang River as …
P Zhang, S Mei, C Shi, R **e, Y Zhuo, Y Wang - Ecological Indicators, 2023 - Elsevier
Dissolved oxygen (DO) plays a significant role in maintaining the health of aquatic
ecosystems. In this study, we propose a model that incorporates multiple machine learning …
ecosystems. In this study, we propose a model that incorporates multiple machine learning …