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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
Students
Integrating Land Use Impact Model with Bayesian Belief Networks to Map and Assess the Risk of Soil Erosion in Karchambooy Catchment, Isfahan
S. Ghaderzadeh
Dr. Ghoohestani
H. Heidari
Students Thesis
Workshops attended
An effective, low-cost and recyclable bio-adsorbent having amino acid intercalated LDH@Fe3O4/PVA magnetic nanocomposites for removal of methyl orange from aqueous solution
Design and fabrication of triboelectric nanogenerators using nylon 66 nanofibers, carbon nanotubes and non-woven polypropylene for energy harvesting from periodic compressive stress
A Combined Model Design for Developing and Optimizing Product Platform Architecture Considering Parameters of DFV, DFC, DFSC, and DFAv case study: phased array radar
Synthesis of n-butyl levulinate as a fuel additive using bimetallic Zr/Al catalysts supported on mesoporous silica: Applying experimental design to optimize the reaction conditions
Synthesis of n-butyl levulinate as a fuel additive using bimetallic Zr/Al catalysts supported on mesoporous silica: Applying experimental design to optimize the reaction conditions
Robotic Home-Based Rehabilitation Systems Design: From a Literature Review to a Conceptual Framework for Community-Based Remote Therapy During COVID-19 Pandemic