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 paper, the microstructural evolution of Al-7Si-Mg alloy cast semi-solid using a cooling slope as well as conventional casting followed by equal channel angular pressing (ECAP) in a 120° die was investigated.
55 citations
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TL;DR: In this paper, a triazole derivative 1-(2,4-difluorophenyl)-2-(1H-1,2, 4-triazol-1-yl)ethylidene) thiosemicarbazide was synthesized and subjected to density functional theory (DFT) studies employing B3LYP/6-31+G(d,p) basis set.
54 citations
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TL;DR: In this paper, the authors investigate the features of the exponential space dependent heat source (ESHS) and cross-diffusion effects in Marangoni convective heat mass transfer flow due to an infinite disk.
Abstract: Present work aims to investigate the features of the exponential space dependent heat source (ESHS) and cross-diffusion effects in Marangoni convective heat mass transfer flow due to an infinite disk. Flow analysis is comprised with magnetohydrodynamics (MHD). The effects of Joule heating, viscous dissipation and solar radiation are also utilized. The thermal and solute field on the disk surface varies in a quadratic manner. The ordinary differential equations have been obtained by utilizing Von Karman transformations. The resulting problem under consideration is solved numerically via Runge-Kutta-Fehlberg based shooting scheme. The effects of involved pertinent flow parameters are explored by graphical illustrations. Results point out that the ESHS effect dominates thermal dependent heat source effect on thermal boundary layer growth. The concentration and temperature distributions and their associated layer thicknesses are enhanced by Marangoni effect.
54 citations
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TL;DR: In this article, a new binary Salp Swarm Algorithm (bSSA) was proposed for selecting the best feature set from transformed datasets, which first transforms the original data-set using Principal Component Analysis (PCA) and fast independent component analysis (fastICA) based hybrid data transformation methods; next, a binary salp swarm optimizer is used for finding the best features.
Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature subsets. Selecting optimal features within this high dimensional data space is time-consuming and negatively affects the system’s performance. This paper proposes a new binary Salp Swarm Algorithm (bSSA) for selecting the best feature set from transformed datasets. The proposed feature selection method first transforms the original data-set using Principal Component Analysis (PCA) and fast Independent Component Analysis (fastICA) based hybrid data transformation methods; next, a binary Salp Swarm optimizer is used for finding the best features. The proposed feature selection approach improves accuracy and eliminates the selection of irrelevant features. We validate our technique on fifteen different benchmark data sets. We conduct an extensive study to measure the performance and feature selection accuracy of the proposed technique. The proposed bSSA is compared to Binary Genetic Algorithm (bGA), Binary Binomial Cuckoo Search (bBCS), Binary Grey Wolf Optimizer (bGWO), Binary Competitive Swarm Optimizer (bCSO), and Binary Crow Search Algorithm (bCSA). The proposed method attains a mean accuracy of 95.26% with 7.78% features on PCA-fastICA transformed datasets. The results show that bSSA outperforms the existing methods for the majority of the performance measures.
54 citations
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TL;DR: In this paper, a mathematical analysis of two-phase boundary layer flow and heat transfer of a Williamson fluid with fluid particle suspension over a stretching sheet has been carried out in the energy transfer process and the effect of influencing parameters on velocity and temperature transfer of fluid is examined and deliberated by plotted graphs and tabulated values.
Abstract: A mathematical analysis of two-phase boundary layer flow and heat transfer of a Williamson fluid with fluid particle suspension over a stretching sheet has been carried out in this paper. The region of temperature jump and nonlinear thermal radiation is considered in the energy transfer process. The principal equations of boundary layer flow and temperature transmission are reformed to a set of non-linear ordinary differential equations under suitable similarity transformations. The transfigured equalities are solved numerically with the help of RKF-45 order method. The effect of influencing parameters on velocity and temperature transfer of fluid is examined and deliberated by plotted graphs and tabulated values. Significances of the mass concentration of dust particle parameter play a key role in controlling flow and thermal behavior of non-Newtonian fluids. Further, the temperature and concern boundary layer girth are declines for increasing values of Williamson parameter.
54 citations
Authors
Showing all 2404 results
Name | H-index | Papers | Citations |
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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 |