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Therefore, in this contribution, a method is developed that optimizes topology optimization for additive manufacturing.
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The major contributions of this paper: 1) A method is proposed to obtain global density parameters in order to find an optimal partition of a data set into high and low density regions.
In this contribution a novel method is presented to discover paths to optimized nanoparticle characteristics in chemical vapor synthesis.
For broadened contributions a nonparametric method is used.
For this purpose, a group contribution (GC) method is developed for the prediction of PC-SAFT pure component parameters.
In this communication, a Group Contribution (GC) method is applied to represent/predict the molecular diffusivity of chemical compounds in air at 298.15 K and atmospheric pressure.
In this communication, a reliable group contribution method is developed for estimation of surface tension of ionic liquids.
In the present work, a group contribution method is proposed for the estimation of the vapor pressure of fatty compounds.
The major contribution of this method is in addressing the optimal design of refrigeration cycle with variable refrigeration temperature levels.
The main contribution of this method is that it can effectively reduce the authentication overheads compared with related works.
Method6) Modified Kalman Taylor method: The main contribution of this method is to modify modeling process of state space to decrease error bound [22].
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CEO of Professional Science Editing for Scientists @ prosciediting.com