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# Published Date Details
621.30-11-2009 “A Mathematical Approach to Load Balancing in Multi ECU Configuration”, International Journal of Recent Trends in Engineering, Vol 2, No. 6, page 76-79, November 2009
Authors: Rajeshwari Hegde, K S Gurumurthy,
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622.01-05-2009“Automatic Eyewink Interpretation system using face orientation recognition for Human Machine Interface”, International Journal of Computer Science and Network Security [IJCSNS], Vol. 9, No. 5, pp. 155-163, 6 ISSN: 1738-7906, May 2009. - Citations -11
Authors: Dr. Mamatha M N et.al.
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623.05-11-2007"Principal Component Analysis for Analysis and Classification of fMRI Activation Maps", IJCSNS International Journal of Computer Science and Network Security, VOL.7 No.11, November 2007. Abstract:Principal Component Analysis (PCA) a standard method for creating uncorrelated variables from best-fitting linear combinations of the variables in the raw depth data extracted using Statistical Parametric mapping (SPM). This approach is equivalent to finding an orthogonal basis such that the projection onto each successive vector (or\“principal component”) is of maximal variance (and uncorrelated with each previous vector). The templates comprising of principal components represent individual activity. These are then fed to the back propagation training algorithm. The trained network is capable of classifying the test pattern into the corresponding defined class.
Authors: H N Suma, S Murali
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624.07-03-2007Corrections and Comments to “Model Reduction of Discrete Linear Systems Via Frequency-Domain Balanced Structure” IEEE Transactions on Circuits and Systems I: Regular Papers, PP.682-683
Authors: Prjapathi N L. Dinesh Chandra, Seshachalam D
625.01-07-2005Guidance Systems for Fighter Aircraft; Defence Science Journal, DRDO, India
Authors: K.N. Rajanikanth, R.S. Rao, P. S. Subramanyam, Ajai Vohra
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626.17-05-1921Detection and Localization of Mask Occluded Faces by transfer learning using Faster RCNN Authors H Shylaja, HN Latha, Poornima, B Uma Publication date 2021/4/27 Journal : Available at SSRN 3835214
Authors: H Shylaja, HN Latha, Poornima, B Uma
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