Zobrazeno 1 - 10
of 12
pro vyhledávání: '"E. Venkateswara Reddy"'
Autor:
L Abdul Saleem, E Venkateswara Reddy
Publikováno v:
2023 International Conference on Computer Communication and Informatics (ICCCI).
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811670879
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f432e1a420f842db46fbedde35786c
https://doi.org/10.1007/978-981-16-7088-6_37
https://doi.org/10.1007/978-981-16-7088-6_37
Publikováno v:
Intelligent Systems and Sustainable Computing ISBN: 9789811900105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9189bc1d1764e6ddc64d8999b8e5d4ff
https://doi.org/10.1007/978-981-19-0011-2_58
https://doi.org/10.1007/978-981-19-0011-2_58
Publikováno v:
Intelligent Systems and Sustainable Computing ISBN: 9789811900105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c57d7c9a349fdf89ced2b148afb39328
https://doi.org/10.1007/978-981-19-0011-2_56
https://doi.org/10.1007/978-981-19-0011-2_56
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811670879
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a76642a7667a916bd788d78971c4f64
https://doi.org/10.1007/978-981-16-7088-6_73
https://doi.org/10.1007/978-981-16-7088-6_73
Autor:
E. S. Reddy, E. Venkateswara Reddy
Publikováno v:
International Journal of Computer Applications. 85:35-40
This paper describes a comparative study of color image segmentation for various color spaces such as RGB, YUV, XYZ, Lab, HSV, YCC and CMYK using Dynamic Histogram based Rough Fuzzy C Means (DHRFCM). The proposed algorithm DHRFCM is based on modified
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642274428
Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, out-dated sources and sampling errors. As a result there is a need for tools and techniques for mining and managing uncerta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::840e152875345ac490aa73e44624555d
https://doi.org/10.1007/978-3-642-27443-5_100
https://doi.org/10.1007/978-3-642-27443-5_100
Publikováno v:
3rd International Conference on Trendz in Information Sciences & Computing (TISC2011).
Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, out-dated sources and sampling errors. As a result there is a need for tools and techniques for mining and managing uncerta
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