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Predicting Standardized Streamflow index for hydrological drought using machine learning models
Free accessDOAJ | 2020| -
Experimental and numerical analysis of a nanofluidic thermosyphon heat exchanger
Free accessDOAJ | 2019| -
Experimental and numerical analysis of a nanofluidic thermosyphon heat exchanger
Free accessTaylor & Francis Verlag | 2019| -
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Free accessTaylor & Francis Verlag | 2018| -
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
Free accessTaylor & Francis Verlag | 2018| -
Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria
Free accessTaylor & Francis Verlag | 2020| -
Numerical simulation of nanofluid flow inside a root canal
Free accessTaylor & Francis Verlag | 2019| -
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
Free accessTaylor & Francis Verlag | 2019| -
Thin and sharp edges bodies-fluid interaction simulation using cut-cell immersed boundary method
Free accessTaylor & Francis Verlag | 2019| -
Computational intelligence approach for modeling hydrogen production: a review
Free accessTaylor & Francis Verlag | 2018| -
Effect of river flow on the quality of estuarine and coastal waters using machine learning models
Free accessDOAJ | 2018| -
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
Free accessTaylor & Francis Verlag | 2018| -
Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models
Free accessTaylor & Francis Verlag | 2020| -
Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates
Free accessTaylor & Francis Verlag | 2019| -
Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning
Free accessTaylor & Francis Verlag | 2019|
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