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, Cloud computing, Population, Heat transfer
Papers published on a yearly basis
Papers
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TL;DR: In this paper, an increase in SiC content from 5 to 15 wt% in A356-SiC metal matrix composites resulted an improvement of 46% and 15% in hardness and tensile properties respectively.
22 citations
TL;DR: In this article, a susceptible-infected-recovered (SIR) epidemic model of childhood disease is analyzed in the present framework with the help of q -homotopy analysis transform method ( q -HATM).
Abstract: The susceptible-infected-recovered (SIR) epidemic model of childhood disease is analyzed in the present framework with the help of q -homotopy analysis transform method ( q -HATM). The considered model consists the system of three differential equations having fractional derivative, and the non-linear system exemplifies the evolution of childhood disease in a population and its influence on the community with susceptible, infected and recovered compartment. The projected method is a mixture of q -homotopy analysis method and Laplace transform. Two distinct explanatory cases are considered, and corresponding simulations have been demonstrated in terms of plots for different value of the order. The present investigation elucidates that the projected both derivative and technique play a vital role in the analysis and illustrate the behaviour of diverse mathematical models described with differential equations in human disease.
22 citations
TL;DR: Results proved that the PSO-BPNN model yielded the highest prediction accuracy in estimating intraday stock price, and proposed nine new integrated models based on the potential of three ANNs, Back Propagation Neural Network (BPNN), Radial Basis Function Neural network (RBFNN), Time Delay Neural Network(TDNN) and nature inspired algorithms.
22 citations
TL;DR: In this article, the authors explored the significance of quartic autocatalytic chemical reaction on the flow of dusty fluid in which the transmission of energy in form of electromagnetic is nonlinear and unraveled the effects of buoyancy on the velocity of dust and temperature of the dust.
Abstract: Abstract Little is known on the significance of fluid–particle interaction for velocity and temperature as in the case of centrifuge for separating particles of different types, launching of rockets, and motion of space shuttle through the air when there exist chemical reactions between the flow and the wall. The aim of this study is not only to explore the significance of quartic autocatalytic chemical reaction on the flow of dusty fluid in which the transmission of energy in form of electromagnetic is nonlinear but also to unravel the effects of buoyancy on the velocity of the dust and temperature of the dust. The nonlinear partial differential equations that model the transport phenomenon was transformed, nondimensionalised, and parameterised using suitable variables. The corresponding boundary value problems were converted to an initial value problem using the method of superposition and solved numerically. The outcome of the study indicates that enhancement of buoyancy is a yardstick to increase the vertical velocity, horizontal velocity, and shear stress within the fluid domain; increase the velocity of the dust particles; increase the temperature distribution across the flow of dusty fluid; increase the concentration of dusty fluid; and decrease the concentration of the catalyst. It is worth noticing that utmost velocity of the dust occurs at a minimum value of fluid–particle interaction for velocity in the flow over a larger thickness of paraboloid of revolution.
22 citations
TL;DR: The study revealed a high prevalence of anxiety and depressive symptoms among armed forces doctors in India during the COVID-19 pandemic and the main contributing factors are female gender, young age group, non-clinical specialties, and having a doctoral degree.
Abstract: Background:A pandemic poses a significant challenge to the healthcare staff and infrastructure. We studied the prevalence of anxiety and depressive symptoms among armed forces doctors in India duri...
22 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 |