Zobrazeno 1 - 10
of 17
pro vyhledávání: '"T. Logeswari"'
Publikováno v:
QJM: An International Journal of Medicine.
Akademický článek
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Autor:
T Logeswari
Publikováno v:
International Research Journal on Advanced Science Hub. 2:64-69
Autor:
Chinedu James Ujam, Harold Chukwuemeka Godwin, Hidetaka Noritomi, Matthew Edwards, Stephen Egarievwe, Afef Janen, Tatiana Kukhtarev, Abdullahi Abuh, Patience E. Orukpe, D. Hari Priya, K. S. Rao, Venu Madhav Gopala, Lahari Lakki, Y. P. Obulesu, Laura Marcela Machuca, Marcelo César Murguía, Z. Abdel Hamid, M. Ibrahim, G. Ragul, Bi Bi Zainab Mazahri, Dayanand Agsar, M. V. N. Ambika Prasad, M. Laavanya, V. Vijayaraghavan, M. Duraisamy, T. Logeswari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d42811b7e1e2cb3b66b0c0d2686ee48
https://doi.org/10.9734/bpi/etert/v9
https://doi.org/10.9734/bpi/etert/v9
Autor:
T. Logeswari
The advancement of technology and networking allows the use of the Web incredibly important. There is thus an exponential increase in data and information via the Internet. This flow thus is a beneficial field of study which can be defined accurately
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de2aa54c61117dd2f5f0b600bd0139ba
https://zenodo.org/record/5555793
https://zenodo.org/record/5555793
Autor:
T. Logeswari
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 6:4760-4765
Autor:
M. Karnan, T. Logeswari
Publikováno v:
International Journal of Computer Theory and Engineering. :591-595
Autor:
T. Logeswari, N. Valarmathi
Publikováno v:
2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).
In this paper, the best way to mine the frequent item sets is proposed. Apriori and Enhanced Apriori algorithms are explained here. These both algorithms are compared and analysed to find the best one in terms of time complexity and I/O Transaction.
Autor:
T. Logeswari, M. Karnan
Publikováno v:
ICSAP
Image segmentation denotes a process of partitioning an image into distinct regions. A large variety of different segmentation approaches for images have been developed. Among them, the clustering methods have been extensively investigated and used.
Autor:
M. Karnan, T. Logeswari
Publikováno v:
ICSAP
Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phase, the MRI brain image is acquired from patients database, In that film a