Institution
University of Tabriz
Education•Tabriz, Iran•
About: University of Tabriz is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Population & Nanocomposite. The organization has 12141 authors who have published 20976 publications receiving 313982 citations.
Topics: Population, Nanocomposite, Aqueous solution, Nonlinear system, Catalysis
Papers published on a yearly basis
Papers
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16 Jun 2017
TL;DR: The main aim of this editorial is to accentuate the pragmatic impacts of polymers in human daily life.
Abstract: Polymers are widely used advanced materials, which are found almost in every material used in our daily life. To date, the importance of polymers has been much more highlighted because of their applications in different dominions of sciences, technologies and industry – from basic uses to biopolymers and therapeutic polymers. The main aim of this editorial is to accentuate the pragmatic impacts of polymers in human daily life.
116 citations
TL;DR: The results indicate that the computational time required for the improved ant colony optimization is considerably reduced.
116 citations
TL;DR: In this paper, the corrosion resistance of NiCo alloy and NiCo/SiC nanocomposite coatings electrodeposited in a modified Watts bath using sediment codeposition (SCD) technique was evaluated by potentiodynamic polarization measurements in 3.5% NaCl solution and studied as a function of deposition conditions.
116 citations
TL;DR: High accuracy of these models is shown, which indicates that the SVM model gives more accurate values for forecasting than ANN, adaptive neuro-fuzzy interface system, and support vector machine.
Abstract: Drought is a natural disaster that causes significant impact on all parts of environment and cause to reduction of the agricultural products. Other natural phenomena, for instance climate change, earthquake, storm, flood, and landslide, are also commonplace. In recent years, various techniques of artificial intelligence are used for drought prediction. The presented paper describes drought forecasting, which makes use of and compares the artificial neural network (ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM). The index that is used in this study is Standardized Precipitation Index (SPI). All of data from Bojnourd meteorological station (from January 1984 to December 2012) have been tested for 3-month time scales. The input parameters are as follows: temperature, humidity, and season precipitation, and the output parameter is SPI. This paper shows high accuracy of these models. The results indicated that the SVM model gives more accurate values for forecasting. On the other hand, we use the nonparametric inference to compare the proposal methods, and our results show that SVM model is more accurate than ANN and ANFIS.
116 citations
TL;DR: In this article, the mass changes of elements were calculated on the basis of Ti (as immobile element) and these calculations demonstrate that elements such as Mg, Na, Ca, Si, Fe, Y, Rb, Ba, P, K, K and Mn were leached out of the weathered system whereas those such as Nb, Hf, Cr, V, Zr, Al, La, Co, Th, U and Ni became concentrated in the residual system.
115 citations
Authors
Showing all 12238 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ozgur Kisi | 73 | 478 | 19433 |
| Alireza Khataee | 68 | 525 | 20805 |
| Mehdi Shahedi Asl | 63 | 197 | 8437 |
| Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
| Gerard Ledwich | 56 | 686 | 15375 |
| Thomas Blaschke | 56 | 348 | 17021 |
| Ali Nokhodchi | 55 | 322 | 9087 |
| Danial Jahed Armaghani | 55 | 212 | 8400 |
| Behnam Mohammadi-Ivatloo | 51 | 482 | 9704 |
| Mohammad Norouzi | 51 | 159 | 18934 |
| Ebrahim Babaei | 50 | 455 | 10615 |
| Abolghasem Jouyban | 50 | 700 | 12247 |
| Abolfazl Akbarzadeh | 50 | 253 | 11256 |
| Yadollah Omidi | 49 | 294 | 8076 |
| Vahid Vatanpour | 47 | 194 | 9313 |