Publications
| # | Published Date | Details |
|---|---|---|
| 441. | 30-10-2010 | "Modeling and Performance evaluation of UTB SGOI Devices scalable to 22 nm Technology node“, WSEAS TRANSACTIONS on CIRCUITS and SYSTEMS, Volume 9,Issue 10, October 2010, pp. 607-616, ISSN: 1109-2734 Authors: Dr.Kiran Bailey, Dr.K.S. Gurumurthy Link |
| 442. | 01-08-2010 | “A Novel Algorithm Design Approach for
Biopotential Acquisition in Brain Machine Interface”, International Journal of
Material Science and Engineering [JMSE], USA, Vol. 4, No. 8, pp. 60•65, ISSN: 1934-8959,
Aug. 2010.
Authors: Dr. Mamatha M N et.al. Link |
| 443. | 01-08-2010 | “Interactive robot in human
machine interface for partially paralytic patient”, International Journal of
Engineering Science and Technology [IJEST], Vol. 2, No. 8, pp. 3846-3853, ISSN: 0975-
5462, Aug. 2010.
Authors: Dr. Mamatha M N et.al. Link |
| 444. | 22-07-2010 | "Low Power Semiconductor devices at 65 nm technology node", INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING , Volume 4, Issue 2, 2010, pp. 43-51,ISSN: 1998-4464 Authors: Dr.Kiran Bailey, Dr.K.S. Gurumurthy Link |
| 445. | 05-01-2010 | ”Simulation of EEG Patterns with Dynamic Modeling of the Olfactory system” published in the International Journal of chemical science:8 (5),2010,S368-S375. Authors: Kalpana.R,T.Anushalaitha,Karthika gopinath |
| 446. | 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. Link |
| 447. | 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 Link |
| 448. | 07-03-2007 | Corrections 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 |
| 449. | 01-07-2005 | Guidance Systems for Fighter Aircraft; Defence Science Journal, DRDO, India Authors: K.N. Rajanikanth, R.S. Rao, P. S. Subramanyam, Ajai Vohra Link |
| 450. | 17-05-1921 | Detection 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 Link |