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Institution

Islamic Azad University

EducationTehran, Iran
About: Islamic Azad University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Population & Adsorption. The organization has 83635 authors who have published 113437 publications receiving 1275049 citations. The organization is also known as: Azad University.


Papers
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Journal ArticleDOI
TL;DR: In this article, pomegranate juice was spray dried at three maltodextrin levels (25, 35 and 45% w/w) and two inlet air temperatures (124 and 143°C) and physicochemical and nutritional characteristics of the powder were surveyed.

150 citations

Journal ArticleDOI
TL;DR: In this paper, the capabilities and limitations of mobile learning are discussed, which generally fall into three categories: psychological, pedagogical, and technical limitations, according to which most people prefer to listen to music, the radio news, or sports programs.

150 citations

Journal ArticleDOI
TL;DR: The results of the simulation demonstrated that the Nano-Ber molecules were stabilized on the surface of final aggregates through both hydrophilic and hydrophobic interactions.
Abstract: Berberine is widely used in traditional Iranian medicine to treat diabetes and inflammatory conditions. This study was aimed at developing a method for the preparation of Berberine nanoparticles (N...

149 citations

Journal ArticleDOI
01 Jun 2015
TL;DR: Ant colony optimization for continuous domains (ACOR) based integer programming is employed for size optimization in a hybrid photovoltaic (PV)-wind energy system and the results prove that the authors' proposed approach outperforms them in terms of reaching an optimal solution and speed.
Abstract: ACOR based integer programming is employed for size optimization.The objective function of the hybrid PV-wind system is the total design cost.Decision variables are number of solar panels, wind turbines and batteries.A complete data set, an optimization formulation and ACOR are benefits of this paper. In this paper, ant colony optimization for continuous domains (ACOR) based integer programming is employed for size optimization in a hybrid photovoltaic (PV)-wind energy system. ACOR is a direct extension of ant colony optimization (ACO). Also, it is the significant ant-based algorithm for continuous optimization. In this setting, the variables are first considered as real then rounded in each step of iteration. The number of solar panels, wind turbines and batteries are selected as decision variables of integer programming problem. The objective function of the PV-wind system design is the total design cost which is the sum of total capital cost and total maintenance cost that should be minimized. The optimization is separately performed for three renewable energy systems including hybrid systems, solar stand alone and wind stand alone. A complete data set, a regular optimization formulation and ACOR based integer programming are the main features of this paper. The optimization results showed that this method gives the best results just in few seconds. Also, the results are compared with other artificial intelligent (AI) approaches and a conventional optimization method. Moreover, the results are very promising and prove that the authors' proposed approach outperforms them in terms of reaching an optimal solution and speed.

149 citations

Journal ArticleDOI
TL;DR: A novel mixed-integer non-linear programming model for the layout design of a dynamic cellular manufacturing system (DCMS) that to some extent overcomes common disadvantages in the existing dynamic cell formation models that have not yet considered layout problems.

149 citations


Authors

Showing all 83704 results

NameH-indexPapersCitations
Ajit Kumar Mohanty141112493062
Pierluigi Paolucci1381965105050
Eric Conte132120684593
Patrizia Azzi132127583686
D. Del Re131140687230
Jean-Laurent Agram128122184423
Seyed Mohsen Etesami128110176488
Jean-Charles Fontaine128119084011
Roberta Arcidiacono128132280917
Tejinder Virdee128120874372
Frank Hartmann127111681455
Paolo Azzurri126105881651
Achim Stahl1241248111121
Federica Primavera12087663895
Riccardo Andrea Manzoni12094667897
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022372
202111,539
202012,092
201911,011
201810,260