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Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model
Solar-driven desalination of reverse osmosis (RO) retentate using PVDF/ MXene photothermal hydrophobic membranes
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Estimating maximum pressure-flow scour depth around cylindrical bridge piers using a theoretical model
Improving CO2 storage and methane production from gas hydrate reservoir using different techniques and nanoparticles
Production of high internal phase emulsions using sesame protein isolate nanoparticles as natural pickering stabilizers
Aerodynamic optimization of Magnus wind turbine blades using a stator-integrated design behind rotating cylinders
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Optimizing Fine Copper and Zinc Recovery: A Flocculant-Assisted Flotation Approach Using Box-Behnken Design
Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Improving CO2 storage and methane production from gas hydrate reservoir using different techniques and nanoparticles
Solar-driven desalination of reverse osmosis (RO) retentate using PVDF/ MXene photothermal hydrophobic membranes
Performance improvement of hydrological models using Unscented Kalman Filter-type data assimilation and data fusion