Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
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 hybrid wavelet–machine learning model for qanat water flow prediction
In many parts of semiarid and arid regions, qanats are the leading supplier of water demand
for agricultural and drinking usage. Qanat is an ancient collecting water system, and qanat …
for agricultural and drinking usage. Qanat is an ancient collecting water system, and qanat …
Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
Reliable energy demand estimation and optimal sizing of a stand-alone photovoltaic/wind/
battery hybrid energy system are critical for achieving sustainable development goals. This …
battery hybrid energy system are critical for achieving sustainable development goals. This …
Groundwater level modeling with hybrid artificial intelligence techniques
R Bahmani, TBMJ Ouarda - Journal of hydrology, 2021 - Elsevier
It is necessary to properly simulate groundwater levels in order to ensure an adequate
management of scarce water resources. However, simulating groundwater levels accurately …
management of scarce water resources. However, simulating groundwater levels accurately …
Assessing the predictability of an improved ANFIS model for monthly streamflow using lagged climate indices as predictors
The current study investigates the effect of a large climate index, such as NINO3, NINO3. 4,
NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin (Iran) based on an …
NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin (Iran) based on an …
Improved treatment of model prediction uncertainty: estimating rainfall using discrete wavelet transform and principal component analysis
M Nourali - Water Resources Management, 2023 - Springer
It is necessary to select appropriate rainfall series as input to the hydrologic model to access
more accurate hydrologic predictions and estimate reliable parameters in the modeling …
more accurate hydrologic predictions and estimate reliable parameters in the modeling …
Groundwater level simulation using gene expression programming and M5 model tree combined with wavelet transform
In order to understand and adequately manage hydrological stress, it is necessary to
simulate groundwater levels accurately. In this research, gene expression programming …
simulate groundwater levels accurately. In this research, gene expression programming …
Multivariate modeling of river water withdrawal using a hybrid evolutionary data-driven method
Water resources are one of the most important features of the environment to meet human
needs. In the current research, morphological, quantitative and qualitative hydrological, and …
needs. In the current research, morphological, quantitative and qualitative hydrological, and …