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Institution

Eastern Academy of Science and Technology

About: Eastern Academy of Science and Technology is a based out in . It is known for research contribution in the topics: Molar volume & Dielectric. The organization has 11 authors who have published 24 publications receiving 330 citations.

Papers
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Journal ArticleDOI
TL;DR: The proposed cascaded fuzzy system simplifies and speeds up the computation of WQI as compared to the currently existing standards and it is found that the designed model results in accurate prediction.

84 citations

Journal ArticleDOI
TL;DR: The main theme of this paper is very simple: a security flaw is presented on Chung et al.'s scheme and then a fix is provided in order to remedy the security flaw found.

70 citations

Journal ArticleDOI
TL;DR: It could be concluded that the FLANN model give better noise prediction than the PPN and LeNN model.
Abstract: Functional link-based neural network models were applied to predict opencast mining machineries noise. The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-a-vis existing statistical models. In order to find the actual noise status in opencast mines, some of the popular noise prediction models, for example, ISO-9613-2, CONCAWE, VDI, and ENM, have been applied in mining and allied industries to predict the machineries noise by considering various attenuation factors. Functional link artificial neural network (FLANN), polynomial perceptron network (PPN), and Legendre neural network (LeNN) were used to predict the machinery noise in opencast mines. The case study is based on data collected from an opencast coal mine of Orissa, India. From the present investigations, it could be concluded that the FLANN model give better noise prediction than the PPN and LeNN model.

45 citations

Journal ArticleDOI
TL;DR: In this article, the authors considered transient buoyancy-opposed double diffusive free convection of a micropolar fluid consisting of rigid and non-deformable particles suspension with its own rotation in a square enclosure.

26 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluate different thermo-acoustic parameters along with the excess properties, which are interpreted in the light of molecular interaction between a polar extractant, Cyanex 272 with non-polar diluent, benzene and weakly polar diluents, toluene and xylene.

24 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20211
20171
20162
20152
20142
20131