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A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
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
Three-dimensional wake transition of rectangular cylinders and temporal prediction of flow patterns based on a machine learning algorithm
Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River
Research
Research Projects1
2017-Rajabi.N.
Paratuberculosis: The Trojan in genetic resources of dairy cattle
592. Mallakpour S, Soltanian S, Environmentally friendly functionalization of multiwalled carbon nanotube using ascorbic acid and efficient dispersion in chiral poly(ester-imide) containing 4,4′-thiobis(2-tert-butyl-5-methylphenol) moiety: thermal and mor
Biography 50
General Gemistry for Engineers
Electrospun conductive polymer scaffolds: Tailoring fiber diameter and electrical properties for tissue engineering applications
An examination of how climate change could affect the future spread of Fusarium spp. around the world, using correlative models to model the changes