Institution
Islamic Azad University
Education•Tehran, 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.
Topics: Population, Adsorption, Fuzzy logic, Catalysis, Nanofluid
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the authors examined the association between green logistics operations, social, environmental and economic indicators of SAARC (South Asian Association for Regional Cooperation) countries using GMM and FGLS two methods to tackle the problems of heterogeneity, serial correlation and heteroskedasticity.
161 citations
••
TL;DR: In this article, the authors present the recent advances in the preparation methods and thermophysical properties measurements of oil-based nanofluids, including thermal conductivity, viscosity, density, and specific heat.
161 citations
••
TL;DR: In this article, dual layers mixed matrix membranes (MMMs) were prepared by incorporating aminated-Fe3O4 nanoparticles into the chitosan/polyvinyl alcohol nanofibers over the polyethersulfone (PES) membrane for the removal of Cr(VI) and Pb(II) ions in batch adsorption and membrane processes.
161 citations
••
TL;DR: In this paper, the rheological behavior of engine oil containing various quantities of hybrid nano-additives has been examined and an accurate correlation was proposed to predict the viscosity of the hybrid nanofluids for application in thermal engineering.
161 citations
••
TL;DR: A new efficient method to detect malignancy in melanoma via images using multi-layer perceptron network and WCO algorithm, which attempts to minimize the root mean square error.
Abstract: One of the most dangerous cancers in humans is Melanoma. However, early detection of melanoma can help us to cure it completely. This paper presents a new efficient method to detect malignancy in melanoma via images. At first, the extra scales are eliminated by using edge detection and smoothing. Afterwards, the proposed method can be utilized to segment the cancer images. Finally, the extra information is eliminated by morphological operations and used to focus on the area which melanoma boundary potentially exists. To do this, World Cup Optimization algorithm is utilized to optimize an MLP neural Networks (ANN). World Cup Optimization algorithm is a new meta-heuristic algorithm which is recently presented and has a good performance in some optimization problems. WCO is a derivative-free, Meta-Heuristic algorithm, mimicking the world's FIFA competitions. World cup Optimization algorithm is a global search algorithm while gradient-based back propagation method is local search. In this proposed algorithm, multi-layer perceptron network (MLP) employs the problem's constraints and WCO algorithm attempts to minimize the root mean square error. Experimental results show that the proposed method can develop the performance of the standard MLP algorithm significantly.
161 citations
Authors
Showing all 83704 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ajit Kumar Mohanty | 141 | 1124 | 93062 |
Pierluigi Paolucci | 138 | 1965 | 105050 |
Eric Conte | 132 | 1206 | 84593 |
Patrizia Azzi | 132 | 1275 | 83686 |
D. Del Re | 131 | 1406 | 87230 |
Jean-Laurent Agram | 128 | 1221 | 84423 |
Seyed Mohsen Etesami | 128 | 1101 | 76488 |
Jean-Charles Fontaine | 128 | 1190 | 84011 |
Roberta Arcidiacono | 128 | 1322 | 80917 |
Tejinder Virdee | 128 | 1208 | 74372 |
Frank Hartmann | 127 | 1116 | 81455 |
Paolo Azzurri | 126 | 1058 | 81651 |
Achim Stahl | 124 | 1248 | 111121 |
Federica Primavera | 120 | 876 | 63895 |
Riccardo Andrea Manzoni | 120 | 946 | 67897 |