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Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River
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
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
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
A promising multi-component, multi-functional, drug-releasing Cu-doped Fe3O4/bioactive glass/Chitosan coating, applied on stainless steel substrate for biomedical applications
Bochner algebras and their compact multipliers
K. Ghaffari
Analysing the functionality of rangeland landscapes using remote sensing data
سيمين نصوحيان- Simin Nosouhian
6- Feasibility Study of Synthesis of Long-Chain Alcohols Via Air Oxidation of Linear Long Chain Parafins, Funded by Isfahan LAB Company, Iran
Effect of Oxidized Starch on Morphology, Rheological and Tensile Properties of Low-Density Polyethylene/Linear Low-Density Polyethylene/Thermoplastic Oxidized Starch Blends