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Institution

Islamic Azad University North Tehran Branch

EducationTehran, Iran
About: Islamic Azad University North Tehran Branch is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Adsorption & Catalysis. The organization has 868 authors who have published 968 publications receiving 9987 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the feasibility of the proposed system in the current heavy oil price (900 US$ per Ton) and showed that the increment in cost of electrical energy in the market (more than 0.2US$ per kWh) can improve the system feasibility.

22 citations

Journal ArticleDOI
TL;DR: This article proposed a monolingual BERT for the Persian language (ParsBERT), which shows its state-of-the-art performance compared to other architectures and multilingual models.
Abstract: The surge of pre-trained language models has begun a new era in the field of Natural Language Processing (NLP) by allowing us to build powerful language models. Among these models, Transformer-based models such as BERT have become increasingly popular due to their state-of-the-art performance. However, these models are usually focused on English, leaving other languages to multilingual models with limited resources. This paper proposes a monolingual BERT for the Persian language (ParsBERT), which shows its state-of-the-art performance compared to other architectures and multilingual models. Also, since the amount of data available for NLP tasks in Persian is very restricted, a massive dataset for different NLP tasks as well as pre-training the model is composed. ParsBERT obtains higher scores in all datasets, including existing ones and gathered ones, and improves the state-of-the-art performance by outperforming both multilingual BERT and other prior works in Sentiment Analysis, Text Classification, and Named Entity Recognition tasks.

22 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of operating parameters including temperature, transmembrane pressure (TMP), cross-flow velocity (CFV), and back pulse time (BPT) at three levels on the amount of permeate flux were investigated using ceramic and polymeric membranes.
Abstract: In this study, treatment of two real produced waters was studied using microfiltration (MF) and ultrafiltration. In the first step, the effects of operating parameters including temperature, transmembrane pressure (TMP), cross-flow velocity (CFV), and back pulse time (BPT) (in the MF system) at three levels on the amount of permeate flux were investigated using ceramic and polymeric membranes. To design the experiments and optimize the experimental results, the L9 (34) and L9 (33) orthogonal arrays of the Taguchi method and a response category of the-larger-the-better were applied. Analysis of variance was used to determine the most important parameters affecting the permeate flux. The optimum conditions were found at the third level of temperature, TMP, and CFV and at the first level of BPT in the MF system. In the second step, the performance of ceramic and polymeric membranes was studied under the optimum conditions and 99% oil and turbidity and 100% total suspended solids rejection were obtain...

22 citations

Journal ArticleDOI
TL;DR: In this article, three simple and accurate expressions have been proposed for prediction of lower and upper onset pressures of asphaltene precipitation as well as saturation pressures, and two constrained multivariable search methods, namely generalized reduced gradient (GRG) and successive linear programming (SLP), were employed for modeling and expediting the process of achieving a good feasible solution.

22 citations

Journal ArticleDOI
TL;DR: Increased 30% growth of the bacterium has been observed and the subsequent production of biosurfactant and the difference between the experimental results and simulation data were achieved up to 0.17 g/cm3, which confirms the prediction of data by the software due to a difference of less than 14.5%.

21 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202211
202175
202091
201974
201879