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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