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Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and …
Due to the significant energy and economic losses brought on by the global oil spill, there
has been an increased interest in oil-water separation. This study presents strong non-linear …
has been an increased interest in oil-water separation. This study presents strong non-linear …
Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm
The selection of an appropriate number of inputs, known as Sliding window length (SWL) for
influent wastewater quality time series forecasting, has been a topic of research for several …
influent wastewater quality time series forecasting, has been a topic of research for several …
Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane
The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …
water reuse and environmental preservation. Therefore, there is a pressing need for …
A lot-based VMD-CNN-BIGRU indoor mariculture water quality prediction method including attention mechanism
L Chen, Y Zhang, B Xu, K Shao, J Yan… - International Journal of …, 2024 - World Scientific
The water quality in indoor mariculture systems directly impacts the health of aquaculture
species. Dissolved oxygen (DO) is a crucial indicator in these systems, and accurate, rapid …
species. Dissolved oxygen (DO) is a crucial indicator in these systems, and accurate, rapid …
Experimental-based groundwater salinization from the carbonate aquifer of eastern Saudi Arabia: Insight into machine learning coupled with meta-heuristic algorithms
Groundwater (GW) salinization of coastal aquifers has become a serious problem for
attaining sustainable water resource management in Saudi Arabia and other parts of the …
attaining sustainable water resource management in Saudi Arabia and other parts of the …
New strategy based on Hammerstein–Wiener and supervised machine learning for identification of treated wastewater salinization in Al-Hassa region, Saudi Arabia
The agricultural sector faces challenges in managing water resources efficiently, particularly
in arid regions dealing with water scarcity. To overcome water stress, treated wastewater …
in arid regions dealing with water scarcity. To overcome water stress, treated wastewater …
Enhancing Energy Demand Prediction Using Elman Neural Network and Support Vector Machine Model: A Case Study in Lagos State, Nigeria
Energy and power resources must be managed well to guarantee their best use. To ensure
that the required demand for energy generation is met, it is necessary to estimate Energy …
that the required demand for energy generation is met, it is necessary to estimate Energy …
[PDF][PDF] Treated Wastewater Assessment to Optimize Agricultural Water Reuse in Al-Qatif Region Saudi Arabia Using Hybrid Machine Learning Techniques
In the era of mounting water scarcity, particularly in arid regions, the agricultural sector is
striving to optimize the water resource management practices. Treated wastewater (TWW) …
striving to optimize the water resource management practices. Treated wastewater (TWW) …