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Influence of ascites syndrome on growth pattern of chickens reared at normal or cold ambient temperature
Real Analysis I
PhD students
National and International Awards
Applying a modified model predictive current control method to improve surface-mounted permanent magnet synchronous motor drives performance in transient and steady-state operations
Applying a modified model predictive current control method to improve surface-mounted permanent magnet synchronous motor drives performance in transient and steady-state operations
Investigation of structural, electrical and ionic properties of La0.6Ca0.4Fe0.8Ni0.2O3 as an IT-SOFC cathode synthesized through microwave-assisted method
Investigation of structural, electrical and ionic properties of La0.6Ca0.4Fe0.8Ni0.2O3 as an IT-SOFC cathode synthesized through microwave-assisted method
Effect of Al-B4C nanocomposite filler manufactured by accumulative roll bonding (ARB) method on the microstructure and mechanical properties of weldings prepared by tungsten inert gas welding
Finite difference method for biaxial and uniaxial buckling of rectangular silver nanoplates resting on elastic foundations in thermal environments based on surface stress and nonlocal elasticity theories
Application of ultrasonic irradiation as a benign method for production of glycerol plasticized-starch/ascorbic acid functionalized MWCNTs nanocomposites Investigation of methylene blue adsorption and electrical properties
Application of semi-supervised fuzzy c-means method in clustering multivariate geochemical data a case study from the Dalli Cu-Au porphyry deposit in central Iran
Application of a Bayesian Artificial Neural Network and the Reversible Jump Markov Chain Monte Carlo Method to predict the grain size of hot strip low carbon steels
Cobalt(II) Schiff base complex on multi-wall carbon nanotubes (MWNTs) by covalently grafted method Synthesis characterization and liquid phase epoxidation of cyclohexene by air
Real-time prediction of disc cutter wear in low-abrasive rocks: integrating physico-mechanical properties and signal processing features through machine learning methods