Dr. S. Karpagavalli

Associate Professor
PSGR Krishnammal College for Women, India

Highest Degree
Ph.D. in Computer Science from Barathiar University, India

My URL
https://livedna.org/91.17887

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Area of Interest:

Computer Sciences
Telecommunication System
Information Technology
Machine Learning
Advanced Technology

Selected Publications

  1. Pradeebha, R. and S. Karpagavalli, 2016. Prediction of lung disease using HOG features and machine learning algorithms. Int. J. Innov. Res. Comput. Commun. Eng., 4: 64-71.
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  2. Pradeebha, R. and S. Karpagavalli, 2016. Classification of lung disease using local and global descriptors. Int. J. Comput. Applic., 135: 19-23.
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  3. Padmapriya, R. and S. Karpagavalli, 2016. Offline handwritten mathematical expression recognition. Int. J. Innov. Res. Comput. Commun. Eng., 4: 52-59.
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  4. Karpagavalli, V. and E. Chandra, 2016. Stop Consonant-Short Vowel (SCSV) classification for Tamil speech utterances. Int. Rev. Comput. Software, 11: 151-159.
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  5. Karpagavalli, S. and E. Chandra, 2016. Recognition of Tamil syllables using vowel onset points with production, perception based features. ICTACT J. Soft Comput., 6: 1163-1170.
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  6. Karpagavalli, S. and E. Chandra, 2016. A review on sub-word unit modeling in automatic speech recognition. IOSR J. VLSI Signal Process., 6: 77-84.

  7. Karpagavalli, S. and E. Chandra, 2016. A review on automatic speech recognition architecture and approaches. Int. J. Signal Process. Image Process. Pattern Recognit., 9: 393-404.
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  8. Meenakshi, S. and S. Karpagavalli, 2015. Speech emotion recognition using classification algorithms. Int. J. Applied Eng. Res., 10: 12893-12904.

  9. Karpagavalli, S. and E. Chandra, 2015. A Hierarchical approach in Tamil phoneme classification using support vector machine. Indian J. Sci. Technol., Vol. 8, No. 35. 10.17485/ijst/2015/v8i35/80681.
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  10. Thendral, T., M.S. Vijaya and S. Karpagavalli, 2013. Discovering Tamil writer identity using global and local features of offline handwritten text. Int. Rev. Comput. Software, 8: 2080-2087.
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  11. Menaka, K. and S. Karpagavalli, 2013. Breast cancer classification using support vector machine and genetic programming. Int. J. Innov. Res. Comput. Commun. Eng., 1: 1410-1417.
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  12. Karpagavalli, S. and P.V. Sabitha, 2012. Scaly neural networks for speech recognition using DTW and time alignment algorithms. Int. J. Scient. Res. Publ., 2: 1-9.
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  13. Karpagavalli, S. and P.V. Sabitha, 2012. Isolated Tamil words speech recognition using linear predictive coding and neural networks. Int. J. Comput. Sci. Manage. Res., 1: 999-1011.

  14. Karpagavalli, S., R. Deepika, P. Kokila, K. Usha Rani and E. Chandra, 2011. Automatic speech recognition: Architecture, methodologies and challenges-A review. Int. J. Adv. Res. Comput. Sci., 2: 326-331.
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  15. Suganya, G., S. Karpgavalli and V. Christina, 2010. Proactive password strength analyzer using filters and machine learning techniques. Int. J. Comput. Applic., 7: 1-5.
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  16. Christina, V., S. Karpagavalli and G. Suganya, 2010. Email spam filtering using supervised machine learning techniques. Int. J. Comput. Sci. Eng., 2: 3126-3129.
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  17. Christina, V., S. Karpagavalli and G. Suganya, 2010. A study on email spam filtering techniques. Int. J. Comput. Applic., 12: 7-9.
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  18. Karpagavalli, S., K.S. Jamuna and M.S. Vijaya, 2009. Machine learning approach for preoperative anaesthetic risk prediction. Int. J. Recent Trends Eng., 1: 19-22.

  19. Jamuna, K.S., S. Karpagavalli and M.S. Vijaya, 2009. A novel approach for password strength analysis through support vector machine. Int. J. Recent Trends Eng., 2: 79-82.
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Member since October, 2017