لوحة التحليلات

Groundwater level prediction using machine learning models: A comprehensive review

Modeling water quality parameters using data-driven models, a case study Abu-Ziriq marsh in south of Iraq

Proposition of new ensemble data-intelligence models for surface water quality prediction

Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad

Future predictions of precipitation and temperature in Iraq using the statistical downscaling model

Modeling the monthly pan evaporation rates using artificial intelligence methods: a case study in Iraq

Assessing the impacts of climate change on hydrology of the upper reach of the spree river: Germany

Modeling of pan evaporation based on the development of machine learning methods

Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment

Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models