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pro vyhledávání: '"Thangavel K"'
Publikováno v:
In Chemical Physics 1 September 2023 573
Akademický článek
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Autor:
Gowthaman, S., Thangavel, K.
Publikováno v:
In Fuel 15 August 2022 322
Publikováno v:
In Materials Today: Proceedings 2020 33 Part 5:2251-2254
Publikováno v:
In Materials Today: Proceedings 2020 33 Part 5:2160-2166
Autor:
Rathipriya, R., Thangavel, K.
In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from the given web usage data. Extracted bicluster
Externí odkaz:
http://arxiv.org/abs/1412.8099
Autor:
Aroquiaraj, I. Laurence, Thangavel, K.
Mass classification of objects is an important area of research and application in a variety of fields. In this paper, we present an efficient computer aided mass classification method in digitized mammograms using Fuzzy K-Nearest Neighbor Equality,
Externí odkaz:
http://arxiv.org/abs/1406.4770
Autor:
Kostopoulou, A., Velu, S. K. P., Thangavel, K., Orsini, F., Brintakis, K., Psycharakis, S., Ranella, A., Bordonali, L., Lappas, A., Lascialfari, A.
Elevated-temperature polyol-based colloidal-chemistry approach allows for the development of size-tunable (50 and 86 nm) assemblies of maghemite iso-oriented nanocrystals, with enhanced magnetization. 1H-Nuclear Magnetic Resonance (NMR) relaxometric
Externí odkaz:
http://arxiv.org/abs/1403.5450
Autor:
Aroquiaraj, I. Laurence, Thangavel, K.
Breast region segmentation is an essential prerequisite in computerized analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram and it includes two independent segmentations. The first segments the backgro
Externí odkaz:
http://arxiv.org/abs/1401.0870
Publikováno v:
International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013 1727
Currently Mammography is a most effective imaging modality used by radiologists for the screening of breast cancer. Finding an accurate, robust and efficient breast region segmentation technique still remains a challenging problem in digital mammogra
Externí odkaz:
http://arxiv.org/abs/1307.7474