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您的检索式：作者名="R.Kulkarni"
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| 1 | Preparation and characterization of crosslinked chitosan microspheres for the colonic delivery of 5‐fluorouracil显示文摘 | Subramanya K.Bhat J.Keshavayya Venkatrao H.Kulkarni Venugoapala K. R.Reddy Preeti V.Kulkarni Anandrao R.Kulkarni | 2012 | J Appl Polym Sci2012，，3： | 1 |
| 2 | Resistant Starch–A Review显示文摘 | M.G.Sajilata Rekha S.Singhal Pushpa R.Kulkarni | 2006 | Comprehensive Reviews in Food Science and Food Safety2006，，1： | 1 |
| 3 | Preparation and characterization of crosslinked chitosan microspheres for the colonic delivery of 5‐fluorouracil显示文摘 | Subramanya K.Bhat J.Keshavayya Venkatrao H.Kulkarni Venugoapala K. R.Reddy Preeti V.Kulkarni Anandrao R.Kulkarni | 2012 | J Appl Polym Sci2012，，3： | 1 |
| 4 | Genetic grey wolf optimization and C-mixture for collaborative data publishing显示文摘Data publishing is an area of interest in present day technology that has gained huge attention of researchers and experts.The concept of data publishing faces a lot of security issues,indicating that when any trusted organization provides data to a third party,personal information need not be disclosed.Therefore,to maintain the privacy of the data,this paper proposes an algorithm for privacy preserved collaborative data publishing using the Genetic Grey Wolf Optimizer(Genetic GWO)algorithm for which a C-mixture parameter is used.The C-mixture parameter enhances the privacy of the data if the data does not satisfy the privacy constraints,such as the k-anonymity,l-diversity and the m-privacy.A minimum fitness value is maintained that depends on the minimum value of the generalized information loss and the minimum value of the average equivalence class size.The minimum value of the fitness ensures the maximum utility and the maximum privacy.Experimentation was carried out using the adult dataset,and the proposed Genetic GWO outperformed the existing methods in terms of the generalized information loss and the average equivalence class metric and achieved minimum values at a rate of 0.402 and 0.9,respectively. | Yogesh R.Kulkarni T.Senthil Murugan | 2018 | International Journal of Modeling, Simulation, and Scientific Computing2018，9，6： | 0 |
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