Institution
ITM University, Gurgaon, Haryana
Education•Gurgaon, India•
About: ITM University, Gurgaon, Haryana is a education organization based out in Gurgaon, India. It is known for research contribution in the topics: Encryption & Cryptosystem. The organization has 749 authors who have published 1159 publications receiving 12997 citations.
Papers published on a yearly basis
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TL;DR: Normal depth is a key parameter occurring in open-channel hydraulics as discussed by the authors, and for all practical canal sections, open channel resistance equation involves implicit form for normal depth, therefore,...
Abstract: Normal depth is a key parameter occurring in open-channel hydraulics. For all practical canal sections, open-channel resistance equation involves implicit form for normal depth. Therefore, ...
9 citations
21 Oct 2021
TL;DR: In this article, microalgae are considered potential feedstocks to generate biodiesel; however, the area requires further refinement and metabolic engineering to enhance productivity along with cost reduction, and the work in this paper is related to our work.
Abstract: Microalgae are considered potential feedstocks to generate biodiesel; however, the area requires further refinement and metabolic engineering to enhance productivity along with cost reduction. Our ...
9 citations
TL;DR: Security analysis of a nonlinear optical cryptosystem based on double random phase encoding (DRPE) shows that the method is vulnerable to the modified chosen-plain text, and known-plaintext attacks.
9 citations
TL;DR: In this article, a new catalytic method has been developed for the synthesis of aza/thia-Michael addition reactions of amines/thiols, which provide higher product yields.
9 citations
Posted Content•
TL;DR: It is proved in the paper that extended fuzzy classifier: neutrosophic classifier optimizes the said parameters in comparison to the fuzzy counterpart; and justifying that neutrosophile logic though in its nascent stage still holds the potential to be experimented for further exploration in different domains.
Abstract: Fuzzy classification has become of great interest because of its ability to utilize simple linguistically interpretable rules and has overcome the limitations of symbolic or crisp rule based classifiers. This paper introduces an extension to fuzzy classifier: a neutrosophic classifier, which would utilize neutrosophic logic for its working. Neutrosophic logic is a generalized logic that is capable of effectively handling indeterminacy, stochasticity acquisition errors that fuzzy logic cannot handle. The proposed neutrosophic classifier employs neutrosophic logic for its working and is an extension of commonly used fuzzy claseutrosophic logic eutrosophic classifier sifier. It is compared with the commonly used fuzzy classifiers on the following parameters: nature of membership functions, number of rules and indeterminacy in the results generated. It is proved in the paper that extended fuzzy classifier: neutrosophic classifier; optimizes the said parameters in comparison to the fuzzy counterpart. Finally the paper is concluded with justifying that neutrosophic logic though in its nascent stage still holds the potential to be experimented for further exploration in different domains.
9 citations
Authors
Showing all 763 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| S. K. Maurya | 37 | 121 | 3488 |
| Prem Vrat | 33 | 69 | 4894 |
| Kehar Singh | 30 | 197 | 4555 |
| Stefan Fischer | 30 | 198 | 4477 |
| Abhishek Jain | 29 | 120 | 3556 |
| Prabhata K. Swamee | 29 | 150 | 3278 |
| R. C. Mittal | 28 | 107 | 2456 |
| Ram Kumar Sharma | 25 | 129 | 2243 |
| Pramila Goyal | 23 | 52 | 1524 |
| B. K. Das | 22 | 100 | 1879 |
| Divya Agarwal | 22 | 198 | 2020 |
| Yugal Kumar | 20 | 70 | 847 |
| Sudheer Ch | 20 | 30 | 1336 |
| Amparo Borrell | 20 | 87 | 1155 |
| Anil Kumar Yadav | 19 | 54 | 1145 |