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Performance prediction of in situ forming controlled drug delivery systems by addaptive neuro-fuzzy interface system ANFIS
THE EFFECT OF PORE SIZE AND SHAPE ON THE MECHANICAL PROPERTIES OF OPENCELL NANO METAL FOAMS PREDICTED BY MOLECULAR DYNAMICS SIMULATIONS
THE EFFECT OF PORE SIZE AND SHAPE ON THE MECHANICAL PROPERTIES OF OPENCELL NANO METAL FOAMS PREDICTED BY MOLECULAR DYNAMICS SIMULATIONS
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Developing a New Model for Predicting Specific Energy (SE) for Economic and Environmental Optimization of the Diamond Wire Cutting Operation
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models