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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
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
Latifi Alavijeh Milad
Seyyed Ali Sajadi
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Ionic liquids as novel, green media for clean synthesis of soluble aromatic-aliphatic poly(amide-ester)s containing hydroxynaphthalene urazole moiety
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