Institution
Christ University
Education•Bengaluru, India•
About: Christ University is a education organization based out in Bengaluru, India. It is known for research contribution in the topics: Computer science & Convection. The organization has 2267 authors who have published 2715 publications receiving 14575 citations. The organization is also known as: Christ College & Christ University.
Topics: Computer science, Convection, Population, Cloud computing, Heat transfer
Papers published on a yearly basis
Papers
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TL;DR: In this article, an elemental analyzer was adopted to analyze CHNS on virgin and residual coal sample and the final analysis showed that the coal under study was sub bituminous coal and leaching could improve the amount of carbonaceous material.
Abstract: Demineralization of coal carried out using EDTA for different time and HF of varying concentration. The residual coal from each treatment was characterized together with virgin coal using Scanning Electron Microscopy and energy dispersive X-ray analysis (EDAX). Micrograph and EDAX analysis of Virgin coal reveal the features lithophiles like aluminium, silicates and calcium. The absence of the features corresponding inorganic elements in residual samples is an indication of demineralization. An elemental analyzer was adopted to analyze CHNS on virgin and residual coal sample. The current research compares the leaching efficiency of a mild leachant and a strong leachant. The final analysis showed that the coal under study was sub bituminous coal and leaching could improve the amount of carbonaceous material.
40 citations
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TL;DR: The results prove that he ELM learning performs better than the other methods, and this study compares the five models namely Feed orward networks without feedback, Feed forward back propagation networks, Radial asis function, ELMAN networks and ELMlearning model.
Abstract: In recent years, the investors pay major attention to invest in gold market ecause of huge profits in the future. Gold is the only commodity which maintains ts value even in the economic and financial crisis. Also, the gold prices are closely elated with other commodities. The future gold price prediction becomes the warning ystem for the investors due to unforeseen risk in the market. Hence, an accurate gold rice forecasting is required to foresee the business trends. This paper concentrates on orecasting the future gold prices from four commodities like historical data’s of gold rices, silver prices, Crude oil prices, Standard and Poor’s 500 stock index (S&P500) ndex and foreign exchange rate. The period used for the study is from 1st January 000 to 31st April 2014. In this paper, a learning algorithm for single hidden layered eed forward neural networks called Extreme Learning Machine (ELM) is used which as good learning ability. Also, this study compares the five models namely Feed orward networks without feedback, Feed forward back propagation networks, Radial asis function, ELMAN networks and ELM learning model. The results prove that he ELM learning performs better than the other methods.
40 citations
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TL;DR: In this paper, the authors used the Gaia DR2 data to estimate the age and mass of a confirmed sample of HAeBe stars using both the photometry and distance from the Gaia mission.
Abstract: The present study makes use of the unprecedented capability of the Gaia mission to obtain the stellar parameters such as distance, age, and mass of HAeBe stars. The accuracy of Gaia DR2 astrometry is demonstrated from the comparison of the Gaia DR2 distances of 131 HAeBe stars with the previously estimated values from the literature. This is one of the initial studies to estimate the age and mass of a confirmed sample of HAeBe stars using both the photometry and distance from the Gaia mission. Mass accretion rates are calculated from $H\alpha$ line flux measurements of 106 HAeBe stars. Since we used distances and the stellar masses derived from the Gaia DR2 data in the calculation of mass accretion rate, our estimates are more accurate than previous studies. The mass accretion rate is found to decay exponentially with age, from which we estimated a disk dissipation timescale of $1.9\pm 0.1$ Myr. Mass accretion rate and stellar mass exhibits a power law relation of the form, $\dot{M}_{acc}$ $\propto$ $M_{*}^{2.8\pm0.2}$. From the distinct distribution in the values of the infrared spectral index, $n_{2-4.6}$, we suggest the possibility of difference in the disk structure between Herbig Be and Herbig Ae stars.
40 citations
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TL;DR: In this article, a facile and efficient biogenic method was adopted to synthesize Bi2O3 and g-C3N4/Bi 2O3 nanocomposites using Eichhornia crassipes plant extract.
40 citations
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TL;DR: In this article, the fundamental aim is to find the iterative solution for generalized quintic co-occurrence problems with respect to nonlinear phenomena associated with physical phenomena, which is a hot topic in the present era.
Abstract: The study of nonlinear phenomena associated with physical phenomena is a hot topic in the present era. The fundamental aim of this paper is to find the iterative solution for generalized quintic co...
39 citations
Authors
Showing all 2404 results
Name | H-index | Papers | Citations |
---|---|---|---|
Matt S. Owers | 56 | 217 | 8765 |
Bijjanal Jayanna Gireesha | 40 | 233 | 4748 |
Basavarajappa Mahanthesh | 38 | 158 | 3580 |
Madhavi Rangaswamy | 31 | 52 | 3063 |
Siddhartha Bhattacharyya | 30 | 251 | 3481 |
Rohan Fernandes | 28 | 55 | 2585 |
Gurumurthy Hegde | 27 | 176 | 2185 |
Pundikala Veeresha | 27 | 67 | 1825 |
Pradeep G. Siddheshwar | 26 | 156 | 2298 |
Renjith S. Pillai | 25 | 65 | 2663 |
Brij Kumar Dhindaw | 25 | 123 | 2224 |
Sukalyan Dash | 24 | 137 | 2682 |
Anil Agarwal | 21 | 185 | 1695 |
Maggi Banning | 20 | 73 | 1695 |
Lakshmi S. Iyer | 19 | 123 | 2276 |