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8 results for “R. Valarmathi”

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Research ArticleOpen accessIn the author namesLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Cross-Layered Path Stability Based Routing Protocol for WiMAX NetworksM. Deva Priya, M. L. ValarmathiIn IEEE 802.16, a Subscriber Station (SS) is battery powered with limited capacity. A SS can be made to operate for longer durations by deploying power saving features or by using relay stations. Multi-hop communication conserves power, but finding an optimal path to the destination is monotonous. Path stability indicates how stable a path is and how long it can … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 9 Sep 2013 · 6,673 accessesView PDFCite
Research ArticleOpen accessIn the author namesPower Quality Analysis in 6 MW Wind Turbine Using Static Synchronous CompensatorR. Valarmathi, A. ChilambuchelvanProblem statement: An inherent problem with wind turbine power generation systems is the low power quality due to intermittent power generation in these systems. This not only affects the power generation but also the grid it is connected to. Approach: In this study a configuration consisting of a 6MW Wind Farm based on conventional Fixed Speed Induction Generator is analyzed. … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 23 Nov 2011 · 7,232 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Efficient Unified K-Means Clustering Technique for Microarray Gene Expression DataP. Valarmathie, K. Dinakaran, T. RavichandranProblem statement: Using microarray techniques one could monitor the expressions levels of thousands of genes simultaneously. One challenge was how to derive meaningful insights into expressed data. This might be carried out by clustering techniques such as hierarchical and k-means, but most of the clustering techniques were largely heuristic in nature and are associated with some unresolved issues like how … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,912 accessesView PDFCite