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 authors examined the stock market integration among major stock markets of emerging Asia-Pacific economies, viz. India, Malaysia, Hong Kong, Singapore, South Korea, Taiwan, Japan, China, and Ind...
Abstract: This study examines the stock market integration among major stock markets of emerging Asia-Pacific economies, viz. India, Malaysia, Hong Kong, Singapore, South Korea, Taiwan, Japan, China, and Ind...
34 citations
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TL;DR: On comparing three models using confusion matrix, results indicate that Tf-idf and Linear SVM provides better accuracy for smaller dataset, while for larger dataset, SGD and linear SVM model outperform other models.
Abstract: Opinion Mining also known as Sentiment Analysis, is a technique or procedure which uses Natural Language processing (NLP) to classify the outcome from text. There are various NLP tools available which are used for processing text data. Multiple research have been done in opinion mining for online blogs, Twitter, Facebook etc. This paper proposes a new opinion mining technique using Support Vector Machine (SVM) and NLP tools on newspaper headlines. Relative words are generated using Stanford CoreNLP, which is passed to SVM using count vectorizer. On comparing three models using confusion matrix, results indicate that Tf-idf and Linear SVM provides better accuracy for smaller dataset. While for larger dataset, SGD and linear SVM model outperform other models.
33 citations
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TL;DR: The study indicates that both groups of dogs respond similarly in normal daily dyadic interaction with their owners and the lower comprehension of the human gaze may be a less salient cue among dogs in comparison to the pointing gesture.
Abstract: The study raises the question of whether guide dogs and pet dogs are expected to differ in response to cues of referential communication given by their owners; especially since guide dogs grow up among sighted humans, and while living with their blind owners, they still have interactions with several sighted people. Guide dogs and pet dogs were required to respond to point, point and gaze, gaze and control cues of referential communication given by their owners. Results indicate that the two groups of dogs do not differ from each other, revealing that the visual status of the owner is not a factor in the use of cues of referential communication. Both groups of dogs have higher frequencies of performance and faster latencies for the point and the point and gaze cues as compared to gaze cue only. However, responses to control cues are below chance performance for the guide dogs, whereas the pet dogs perform at chance. The below chance performance of the guide dogs may be explained by a tendency among them to go and stand by the owner. The study indicates that both groups of dogs respond similarly in normal daily dyadic interaction with their owners and the lower comprehension of the human gaze may be a less salient cue among dogs in comparison to the pointing gesture.
33 citations
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TL;DR: In this article, the authors compare the strategies used in successful and failed turnarounds and compare them with those of the failed ones and thereby help turnaround managers to increase their success rate and enhance the value of these organisations to society.
Abstract: All organisations are set up with an objective to create value to the society This necessitates organisations to generate revenues to support all its stakeholders However, in the rat race to succeed, most organisations are unable to generate revenues for sustainable operations It is obvious that organisations cannot survive without profits/surpluses and the inability to generate surpluses would lead to industrial sickness Bringing such organisations back to health requires entrepreneurial strategies at two levels, namely, from the negative to the breakeven and from breakeven to the positive Hence, the turnaround management is a doubly entrepreneurial act The objective of this paper is to understand the strategies used in successful turnarounds and compare them with those of the failed ones and thereby help turnaround managers to increase their success rate so as to enhance the value of these organisations to society
33 citations
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TL;DR: In this article, two benzimidazole/benzothiazole based azomethines, (E)-2-(1H-benzo[d]imidaxol-2-yl)-4-(4-(diethylamino)-2-hydroxybenzylideneamino)phenol (HBZA) and (E)−2-(benzo [d]thiazol- 2-yl)
Abstract: Two benzimidazole/benzothiazole based azomethines, (E)-2-(1H-benzo[d]imidazol-2-yl)-4-(4-(diethylamino)-2-hydroxybenzylideneamino)phenol (HBZA) and (E)–2-(benzo[d]thiazol–2-yl)–4-(4-(diethylamino)–2-hydroxybenzylideneamino)phenol (HBTA) were designed and synthesised. Investigations of solvatochromic behaviour of these fluorophores in solvents of varying polarities showed large Stokes shift of 134–210 nm. Time resolved Laser induced fluorescence measurements revealed the excited state dynamics of the fluorophores. Molecules were also found to be emissive in aggregated state as seen from the aggregation induced emission studies. Appreciable absorption and emission spectral changes upon co-ordination of HBZA with Al3+/Zn2+ and HBTA with Al3+, as well as good sensitivity and selectivity, indicated their capability of detecting the two analytes. The binding stoichiometry was determined using electrospray ionization mass spectrometry (ESI-MS) and the binding mechanism was studied using density functional theory.
33 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 |