Institution
Chandigarh University
Education•Mohali, India•
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.
Papers
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TL;DR: This study enhances the security of Android app in its development phase only and it finds the bugs in the application which will be helpful for developer in order to resolve those errors and make application more efficient.
Abstract: Android is the leading operating system that is currently being used in the smart phones. In this approach apriori algorithm and genetic algorithm is used to find the bugs in the application which will be eventually be helpful for developer in order to resolve those errors and make application more efficient. It is believed that this study is unique in its own kind and it enhances the security of Android app in its development phase only.
6 citations
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TL;DR: In this paper, the effect of nano SiO2silica and nano TiO2 on the dyeing of cotton fabric with madder dye was studied, and the metal nanoparticles were prepared by sol-gel method from respective precursors.
Abstract: The effect of nano SiO2silica and nano TiO2 on the dyeing of cotton fabric with madder dye was studied. The metal nanoparticles were prepared by sol-gel method from respective precursors. Various c...
6 citations
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01 Oct 2014
TL;DR: This paper does mapping of tasks to resources maintaining fairness using the PSO scheduling algorithm and achieves better optimized results for which the platform used for the experiment is CloudSim.
Abstract: Cloud computing gets its standard all over the world due to the necessity for delivering IT services, in excess with internet. It consist of pooled computing resources like network, applications, servers consist of parallel and distributed system based on the SLA. It has been perceived from the past decade that in a cloud environment task scheduling became concerned issue. In this paper our aim is to get better optimized results for which we do mapping of tasks to resources maintaining fairness using the PSO scheduling algorithm. The platform used for the experiment is CloudSim via which we attain more efficiency.
6 citations
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TL;DR: It is concluded that the chemometric method, that is, principal component analysis provides better discrimination power as compared to visual examination, however, destructive and nondestructive approaches give almost similar discriminating power.
Abstract: The multivariate analysis methods have recently gained high popularity within the field of forensic sciences because of their high accuracy and precision. The accurate and unbiased results ...
6 citations
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01 Jan 2021TL;DR: In this paper, the authors presented a framework which detects phishing websites using machine learning and the proposed framework implements ten machine learning models and the best three models are ensembled followed by ten rounds of cross-validation.
Abstract: In today’s era, the world is moving toward automation, in which objects connected to Internet can take independent decisions. In such an environment, machine learning which is an integral part of artificial intelligence, is used widely to design algorithms based on the data trends and historical relationships between data. However, security and privacy preservation in such an environment are key challenges in front of the research communities to handle. Hence, in this paper we present a framework which detects the phishing websites using machine learning. The proposed framework implements ten machine learning models and the best three models are ensembled followed by ten rounds of cross-validation. The overall performance of the proposed framework resulted an accuracy of 97.27% which is better than the existing proposals in the literature.
6 citations
Authors
Showing all 1533 results
Name | H-index | Papers | Citations |
---|---|---|---|
Neeraj Kumar | 76 | 587 | 18575 |
Rupinder Singh | 42 | 458 | 7452 |
Vijay Kumar | 33 | 147 | 3811 |
Radha V. Jayaram | 32 | 114 | 3100 |
Suneel Kumar | 32 | 180 | 5358 |
Amanpreet Kaur | 32 | 367 | 5713 |
Vikas Sharma | 31 | 145 | 3720 |
Munish Kumar Gupta | 31 | 192 | 3462 |
Vijay Kumar | 30 | 113 | 2870 |
Shashi Kant | 29 | 160 | 2990 |
Sunpreet Singh | 29 | 153 | 2894 |
Gagangeet Singh Aujla | 28 | 109 | 2437 |
Deepak Kumar | 28 | 273 | 2957 |
Dilbag Singh | 27 | 77 | 1723 |
Tejinder Singh | 27 | 162 | 2931 |