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A Computational study on robust prediction of transition point over NACA0012 aerofoil surfaces from laminar to turbulent flows
Reduction of the allotropic transition temperature in nanocrystalline zirconium predicted by modified equation of state MEOS) method and molecular dynamics simulation
Reduction of the allotropic transition temperature in nanocrystalline zirconium predicted by modified equation of state MEOS) method and molecular dynamics simulation
Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
recovery prediction of Thymol from Ajwain using supercritical co2 via broken and intaxt cells and shrinking core models
Prediction of Soil Enzymes Activity by Digital Terrain Analysis Comparing Artificial Neural Network and Multiple Linear Regression Models
Prediction of Soil Enzymes Activity by Digital Terrain Analysis Comparing Artificial Neural Network and Multiple Linear Regression Models
Predicting Mechanical Properties of Cold-Rolled Low Carbon Steel Based on Magnetic Parameter Measurment using ANFIS Model
Artificial Neural Network as an Effective Tool for Predicting Soil Organic Carbon Density in Different Land Uses in Northern Iran
Prediction of Interfacial Tensions of binary and ternary liquid-liquid systems by using UNIQUAC Excess Gibbs free energy model
Maturity Prediction and Correlation Analysis of Additive-Treated Cattle and Sheep Manure Composts and Vermicomposts Using Machine Learning Algorithms
Maturity Prediction and Correlation Analysis of Additive-Treated Cattle and Sheep Manure Composts and Vermicomposts Using Machine Learning Algorithms
Predicting the Curie temperature of magnetic materials with machine learning: Descriptor engineering, graph neural networks, and the role of curated data
Modeling, prediction, and optimization of steam methane reforming in porous foams using computational fluid dynamics and machine learning approaches