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7 results for “P. L.K. Priyadarsini”
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Research ArticleOpen accessIn the author namesA Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired AlgorithmsIndira Priyadarsini, I.S. Siva Rao, P. Swetha et al.This study presents a novel approach for early prediction of heart disease using bio-inspired optimization algorithms to select and optimize features. The proposed approach utilizes a Genetic Algorithm (GA), Bat Algorithm (BA), Bee Algorithm (BA), and Ant Colony Optimization (ACO) to optimize a set of four features for improved prediction accuracy. The optimization process aims to identify the most relevant … …Journal of Computer Science, Vol. 21, Issue 1 · 4 Dec 2024 · 5,235 accessesView PDFCite
Research ArticleOpen accessIn the author namesAN EFFICIENT/ENHANCED CONTENT BASED IMAGE RETRIEVAL FOR A COMPUTATIONAL ENGINEK. V. Shriram, P. L.K. Priyadarsini, Kaushik Velusamy, A. BalachandranA picture or image is worth a thousand words. It is very much pertinent to the field of image processing. In the recent years, much advancement in VLSI technologies has triggered the abundant availability of powerful processors in the market. With the prices of RAM are having come down, the databases could be used to store information on the about … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 7,270 accessesView PDFCite
Research ArticleOpen accessIn the author namesAutomatic Target Recognition in Cluttered Visible ImageryM. Jasmine Pemeena Priyadarsini, K. Murugesan, Srinivasa Rao Inbathini et al.Detection of a target from among similar/dissimilar targets in a cluttered image is vital in automatic target recognition. A MACH filter is used for the target detection in cluttered imagery. The cluttered images are correlated using the filter formulated from training images. The target is expected to be detected in the first highest peak. MACH was assumed as an optimum … …Journal of Computer Science, Vol. 9, Issue 5 · 21 May 2013 · 6,927 accessesView PDFCite
Research ArticleOpen accessIn the author namesEfficient Face Recognition in Video by Bit Planes SlicingM. Jasmine Pemeena Priyadarsini, K. Murugesan, Srinivasa Rao Inbathini, Visal KumarProblem statement: Video-based face recognition must be able to overcome the imaging interference such as pose and illumination. Approach: A model is designed to study for face recognition based on video sequence and also test image. In training stage, single frontal image is taken as a input to the recognition system. A new virtual image is generated using bit plane … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,426 accessesView PDFCite