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Using Artificial Neural networks for prediction of fluids thermal conductivity over a wide range of temperatute and pressure
Fault-tolerant model predictive sliding mode control for trajectory replanning of multi-UAV formation flight
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
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
Fault-tolerant model predictive sliding mode control for trajectory replanning of multi-UAV formation flight
Fault-tolerant model predictive sliding mode control for trajectory replanning of multi-UAV formation flight
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
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
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
A machine learning framework to lanthanide element distribution and predictability from the northwestern Iranian karst bauxite deposits
Reviewing Activities
Promising application of (Cu,Fe) Fe2O4/bioactive glass 58S/alginate composite coating on AISI 316L stainless steel implants for biomedical applications
Technical Notes & Reports