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  Singapore Journal of Scientific Research is a quarterly, peer-reviewed international research journal that addresses both applied and theoretical issues. The scope of the journal encompasses research articles, original research reports, reviews, short communications and scientific commentaries in the fields of applied and theoretical sciences, biology, chemistry, physics, zoology, medical studies, environmental sciences, mathematics, statistics, geology, engineering, computer science, social sciences, natural sciences, technological sciences, linguistics, medicine, industrial, and all other applied and theoretical sciences.
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Sabeenian, R.S. and M. Vidhya, 2010. Hand written text to digital text conversion using Radon Transform and Back Propagation Network (RTBPN). Inform. Com. Tech., 101: 498-500.
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Sabeenian, R.S. and M.E. Paramasivam, 2010. Defect detection and identification in textile fabrics using multi resolution combined statistical and spatial frequency method. Proceedings of the 2nd International Advance Computing Conference, Feb. 19-20, IEEE Xplore, Digital Library, pp: 162-166.
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Sabeenian, R.S. and M.E. Paramasivam, 2010. An efficient bit reduction binary multiplication algorithm using vedic Methods. Proceedings of the 2nd International Advance Computing Conference, Feb. 19-20 IEEE Xplore, Digital Library, pp: 25-28.
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Sabeenian, R.S. and M.E. Paramasivam, 2010. Handloom silk fabric defect detection using first order statistical features on a nios ii processor. Inform. Com. Tech., 101: 475-477.
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Sabeenian, R.S. and P. Sabarinath, 2010. Multi resolution adaptive video streaming using scalable video coding. Proceedings of the International Conference on Advances in Communication, Network and Computing, (CNC'10), IEEE Computer Society, Washington, DC. USA., pp: 253-255.
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Sabeenian, R.S. and P.M. Dinesh, 2010. Digital watermarking using multi resolution statistical and markov random field matrix (mrsmrfm). Proceedings of the International Conference on Advances in Communication, Network and Computing, (CNC'10), IEEE Computer Society Washington, DC. USA., pp: 196-198.
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Sabeenian, R.S. and P.M. Dinesh, 2010. Multi format scalable media decoder implementation using omap3530. Proceedings of the International Conference Computational Intelligence and Computing Research, Dec. 28-29, IEEE Xplore, Digital Library, pp: 1-4.
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Sabeenian, R.S. and V. Palanisamy, 2009. Texture based weed detection in agricultural field using MRCF. Int. J. Inform. Com. Eng., 5: 253-257.
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Sabeenian, R.S. and V. Palanisamy, 2009. Texture based weed detection using multi resolution combined statistical and spatial frequency. World Acad. Sci., Eng. Tech., 52: 549-553.
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Sabeenian, R.S. and V. Palanisamy, 2010. Texture image classification using Gabor Statistical Features (GSF) and Wavelet Statistical Features (WSF). Int. J. Comp. Sci. Appl., 2: 5-9.
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Sabeenian, R.S. and V. Palanisamy, 2008. Comparison of efficiency for texture image classification using MRMRF and GLCM techniques. Int. J. Compt. Inform. Technol. Eng., 2: 87-93.
Sabeenian, R.S. and V. Palanisamy, 2008. Rotation invariant texture characterization and classification using radon and wavelet transform. Int. J. Compt. Inform. Technol. Eng., 1: 95-100.
Sabeenian, R.S. and V. Palanisamy, 2009. Texture-based medical image classification of computed tomography images using MRCSF. Int. J. Med. Eng. Inform., 1: 459-472.
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Sabeenian, R.S. and V. Palanisamy, 2010. Crop and weed discrimination in agricultural field using MRCSF. Int. J. Signal Imag. Syst. Eng., 3: 61-69.
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