Institution
Amirkabir University of Technology
Education•Tehran, Iran•
About: Amirkabir University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Finite element method. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.
Topics: Nonlinear system, Finite element method, Fuzzy logic, Artificial neural network, Nanocomposite
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors presented a small signal modeling of a direct-driven permanent magnet synchronous generator (PMSG) based on wind turbine which is connected to the grid via back-to-back converters.
187 citations
TL;DR: In this paper, a new method, based on linear prediction, is proposed for wind speed forecasting, which utilizes the "linear prediction" method in conjunction with "filtering" of the wind speed waveform.
186 citations
TL;DR: The state of the art in Ontology Learning is presented and a framework for classifying and comparing OL systems is introduced and a guideline for researchers to choose the appropriate features to create or use an OL system for their own domain or application is presented.
Abstract: In recent years there have been some efforts to automate the ontology acquisition and construction process. The proposed systems differ from each other in some factors and have many features in common. This paper presents the state of the art in Ontology Learning (OL) and introduces a framework for classifying and comparing OL systems. The dimensions of the framework concern what to learn, from where to learn it and how it may be learnt. They include features of the input, the methods of learning and knowledge acquisition, the elements learned, the resulting ontology and also the evaluation process. To extract this framework, over 50 OL systems or modules thereof that have been described in recent articles are studied here and seven prominent ones, which illustrate the greatest differences, are selected for analysis according to our framework. In this paper after a brief description of the seven selected systems we describe the dimensions of the framework. Then we place the representative ontology learning systems into our framework. Finally, we describe the differences, strengths and weaknesses of various values for our dimensions in order to present a guideline for researchers to choose the appropriate features to create or use an OL system for their own domain or application.
186 citations
TL;DR: In this article, the authors reviewed and summarized recent investigations conducted on use of nanofluids in heat exchangers including those carried out on plate heat exchanger, double-pipe heat exchange, shell and tube heat exchange and compact heat exchange.
185 citations
TL;DR: In this paper, the authors used multivariate linear, non-linear and polynomial regression analyses of RMR input parameters to predict the TBM field penetration index (FPI).
184 citations
Authors
Showing all 15352 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ali Mohammadi | 106 | 1149 | 54596 |
| Mehdi Dehghan | 83 | 875 | 29225 |
| Morteza Mahmoudi | 83 | 334 | 26229 |
| Gaurav Sharma | 82 | 1244 | 31482 |
| Vladimir A. Rakov | 67 | 459 | 14918 |
| Mohammad Reza Ganjali | 65 | 1039 | 25238 |
| Bahram Ramezanzadeh | 62 | 352 | 12946 |
| Muhammad Sahimi | 62 | 481 | 17334 |
| Niyaz Mohammad Mahmoodi | 61 | 218 | 10080 |
| Amir A. Zadpoor | 61 | 294 | 11653 |
| Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
| Goodarz Ahmadi | 60 | 778 | 17735 |
| Maryam Kavousi | 59 | 258 | 22009 |
| Keith W. Hipel | 58 | 543 | 14045 |
| Danial Jahed Armaghani | 55 | 212 | 8400 |