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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
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
An evaluation of spatial and temporal variations of land surface temperature in Biskra, Algeria using remote sensing and GIS
Modelling the Sgr A and M87 shadows by using the Kerr-Taub-NUT metrics in the presence of a scalar field
Estimating maximum pressure-flow scour depth around cylindrical bridge piers using a theoretical model
Fabrication and characterization of hybrid surface composite Al5083/Si3N4/TiC using friction stir processing
Fabrication and characterization of hybrid surface composite Al5083/Si3N4/TiC using friction stir processing
Succinic Acid Fermentation from Alkaline-Based-Pretreated Hydrolysates of Sugarcane Bagasse Using Actinobacillus succinogenes
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites