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Coefficient determination of adaptive feedback linearization method using multi-objective optimization based on genetic algorithm for position control of switched reluctance motors
Coefficient determination of adaptive feedback linearization method using multi-objective optimization based on genetic algorithm for position control of switched reluctance motors
Co-Application of Arbuscular Mycorrhizal Fungi and Silicon Nanoparticles: A Strategy for Optimizing Volatile Profile, Phenolic Content, and Flower Yield in Rosa damascena Genotypes
Co-Application of Arbuscular Mycorrhizal Fungi and Silicon Nanoparticles: A Strategy for Optimizing Volatile Profile, Phenolic Content, and Flower Yield in Rosa damascena Genotypes
Airfoil Shape Optimization in Ultralow Reynolds Flows Applying a Deep Learning-Genetic Algorithm Framework on a Shear-Stress-Based Inverse Design Method
A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies
A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies
Dr. Mohammad Reza Taban
Experiences
کنفرانس ها
Research
ABS Mohammadifard(Latin)
SUPPERVISED GRADUATED STUDENTS
Influence of biosafe amino acid-functionalized multiwalled carbon nanotubes on the morphology and thermal properties of the poly(amide–imide) nanocomposites containing N,N′-(pyromellitoyl)-bis-S-valine segments
Hosein Karimpour (PhD)