Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction
Relative humidity (RH) is one of the important processes in the hydrology cycle which is
highly stochastic. Accurate RH prediction can be highly beneficial for several water …
highly stochastic. Accurate RH prediction can be highly beneficial for several water …
A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration
Reference evapotranspiration (ETo) simulation is of great importance for various procedures
of the hydrological cycle, irrigation, agronomic management, and planning and …
of the hydrological cycle, irrigation, agronomic management, and planning and …
River water level prediction in coastal catchment using hybridized relevance vector machine model with improved grasshopper optimization
Modelling river water level (WL) of a coastal catchment is much complex due to the tidal
influences on river WL. A hybrid machine learning model based on relevance vector …
influences on river WL. A hybrid machine learning model based on relevance vector …
The development of evolutionary computing model for simulating reference evapotranspiration over Peninsular Malaysia
Reference evapotranspiration (ETo) is one of the foremost elements of the hydrology cycle
which is essential for water resources management and irrigation applications. The current …
which is essential for water resources management and irrigation applications. The current …
Optimizing river flow rate predictions: integrating cognitive approaches and meteorological insights
The models used in this study make it possible to make more accurate predictions about
river discharge. These results can influence flood protection strategies, water resource …
river discharge. These results can influence flood protection strategies, water resource …
Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model
Among several complex hydrological process elements, Evapotranspiration (ET) is the most
complex one. Estimation of ET is very challenging compared to other hydrological variables …
complex one. Estimation of ET is very challenging compared to other hydrological variables …
Reference evapotranspiration prediction using high-order response surface method
The precision of reference evapotranspiration (ETo) predictions would vary, depending on
the adopted empirical method and the availability of meteorological data. This study aims to …
the adopted empirical method and the availability of meteorological data. This study aims to …
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
Reference evapotranspiration (ET 0) modeling is pivotal for irrigation scheduling and water
resources planning. This study presents a hybrid approach integrating Extreme Gradient …
resources planning. This study presents a hybrid approach integrating Extreme Gradient …