H. Mirshekar

发表

Modeling and optimization of electrospinning conditions of PVB nanofiber by RSM and PSO-LSSVM models for improved interlaminar fracture toughness of laminated composites

H. Ipakchi, Amir Masoud Rezadoust, M. Esfandeh, 2020, Journal of Composite Materials.

A robust modeling approach to predict the surface tension of ionic liquids

H. Mirshekar, Ahmad Mohaddespour, S. Atashrouz, 2017 .

A soft-computing technique for prediction of water activity in PEG solutions

H. Mirshekar, Abdolhossein Hemmati-Sarapardeh, S. Atashrouz, 2017, Colloid and Polymer Science.

On the evaluation of thermal conductivity of ionic liquids: Modeling and data assessment

M. Moraveji, H. Mirshekar, Abdolhossein Hemmati-Sarapardeh, 2016 .

Implementation of soft computing approaches for prediction of physicochemical properties of ionic liquid mixtures

M. Moraveji, H. Mirshekar, Abdolhossein Hemmati-Sarapardeh, 2017, Korean Journal of Chemical Engineering.

Prediction the Vapor-Liquid Equilibria of CO2-Containing Binary Refrigerant Mixtures Using Artificial Neural Networks

H. Mirshekar, S. Atashrouz, A. Azari, 2013 .

Kinetic Model for Invertase‐Induced Sucrose Hydrolysis: Initial Time Lag

H. Mirshekar, Hamidreza Sanaeepur, A. Kargari, 2017 .

Comparison of LSSVM model results with artificial neural network model for determination of the solubility of SO2 in ionic liquids

H. Mirshekar, S. Atashrouz, H. Mokarizadeh, 2020 .

Phase equilibrium modeling for binary systems containing CO 2 using artificial neural networks

H. Mirshekar, S. Atashrouz, 2014 .

Fabricating and robust artificial neural network modeling nanoscale polyurethane fiber using electrospinning method

M. Khorasani, M. Parvazinia, H. Mirshekar, 2017 .