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pro vyhledávání: '"Narsimha G"'
In this paper the major objective is to design and analyze the suitability of Gaussian similarity measure for intrusion detection. The objective is to use this as a distance measure to find the distance between any two data samples of training set su
Externí odkaz:
http://arxiv.org/abs/1604.07510
Intrusion Detection is one of major threats for organization. The approach of intrusion detection using text processing has been one of research interests which is gaining significant importance from researchers. In text mining based approach for int
Externí odkaz:
http://arxiv.org/abs/1603.03837
Akademický článek
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Autor:
Manjula Aakunuri, Narsimha G.
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 172-188 (2018)
This article proposes an effectual process for soil classification. The input data of the proposed procedure is the Harmonized World Soil Database. Preprocessing aids to generate enhanced representation and will use minimum time. Then, the MapReduce
Externí odkaz:
https://doaj.org/article/3b4d137e24034b6fbaf7c93ca3f3e186
Autor:
Deva, Rajashekar1 rajshekardeva@gmail.com, Narsimha, G.2 narsimha06@gmail.com
Publikováno v:
Journal of Algebraic Statistics. 2022, Vol. 13 Issue 1, p511-516. 6p.
Autor:
Chada Sampath Reddy, Narsimha G.
Publikováno v:
Indian Journal of Computer Science and Engineering. 13:1056-1066
Akademický článek
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Autor:
Reddy, Chada Sampath, Narsimha, G.
Publikováno v:
Intelligent Decision Technologies; 2023, Vol. 17 Issue 4, p1207-1232, 26p
Publikováno v:
IETE Journal of Research; Jul2023, Vol. 69 Issue 7, p4032-4046, 15p
Autor:
Narsimha G, Venkata Ramana B
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Growth in the data processing industry has automated decision making for various domains such as engineering, education and also many fields of research. The increased growth has also accelerated higher dependencies on the data driven business decisi