Publications

 

Dr. Srikantamurthy K
  1. Vipula Singh, Navin Rajpal, K.Srikanta Murthy “A neuro-wavelet model using fuzzy vector quantization for efficient image compression”, (http://www.worldscinet.com/ijig/) International Journal of Image and Graphics (IJIG)Volume: 9, Issue: 2 (April 2009)  DOI No: 10.1142/S0219467809003447 Page: 299-320
  2. Vipula Singh, Navin Rajpal, K.Srikanta Murthy “Design of a Neuro Fuzzy model for image compression in wavelet domain”, Journal of Indian society of Remote sensing (JISRS), Vol 37  (2), June 2009, pp 185-199
  3. Vipula Singh, Navin Rajpal, K.Srikanta Murthy “ A Neuro-Wavelet model using Vector Quantization for  Image Compression”, Journal of Computer Society of India ( CSI), Vol 38, No. 1, Jan- Mar 2008
  4. G. Hemantha Kumar, K. Srikanta Murthy, P. Nagabushan, “Neural Network classifier for the    prediction of an epiraphical script”, Journal of Computer Society of India (CSI),Vol 34, No 4, Oct-Nov 2004, pp 28-35.
  5. K.Srikanta Murthy, G.Hemantha Kumar, P.Shivakumar, “Invariant Moments Based Feature Extraction for the Classification of Epigraphical Characters”, Journal of Statistics and Applications, Vol 3, Nos 1&2, 2005(New Series),      pp 139-152.
  6. K.Srikanta Murthy, G.Hemantha Kumar, “Prediction of Era of Epigraphical scripts based on texture features-A statistical approach”, Journal of Analysis and Computation (JAC), New Delhi. Vol.2,No.1,  2006, pp1-8
  7. Vipula Singh, Navin Rajpal, K. Srikanta Murthy, “Image compression algorithm based on fuzzy vector quantization and neuro-wavelet approach”, International Journal of Systems, Cybernetics and Informatics (ISSN 0973-4864), July 09, pp 29-35.
  8. Conference Publications
  9. K.Srikanta Murthy, Doreswamy, G.Hemantha Kumar, P.Nagabhushan, “Texture Based Algorithmic Analysis of Epigraphical Image to Predict the Period of the Inscription”, Proceedings of National Conference on Recent Trends in Advanced Computing, Manonmanian University, February 2002, pp..46-50.
  10. K.Srikanta Murthy, Doreswamy, G.Hemantha Kumar, P.Nagabhushan          “A Novel Method Based on Texture Analysis of Epigraphical Image to predict the period of the Inscription” Proceedings of National Workshop on Computer Vision, Graphics and Image Processing (WVGIP 2002), February 15-16, 2002, pp..89-93.
  11. Doreswamy, K.Srikanta Murthy, G.Hemantha Kumar, P.Nagabhushan “Filtering Technique based on Minimum Majority Function to eliminate noises from the Epigraphical Script Images ” Proceedings of National Conference on Recent Trends in Information Technology, Karpagam Arts and Science College, Coimbatore, Tamil Nadu,  August 22-24, 2002,  pp. 35-39.
  12. Doreswamy, K.Srikanta Murthy, G.Hemantha Kumar, P.Nagabhushan “Partial Eight Direction Based Algorithm for Line Segmentation of Epigraphical Script Images” Proceedings of National Conference ETA-2003, Saurashtra University, Rajkot,  July 11-13, 2003.
  13. K.Srikanta Murthy, Doreswamy, G.Hemantha Kumar, P.Nagabhushan “Automatic decoding of epigraphical scripts” Proceedings of National Conference on Ancient Science and Archeology, Sri Parashakthi college for women, Courtallam, Tamilnadu, March 7-9, 2003.
  14. Doreswamy, K.Srikanta Murthy, G.Hemantha Kumar, P.Nagabhushan “Role of preprocessing techniques in the automation of epigraphical scripts’ images” Proceedings of National Conference on Ancient Science and Archeology, Sri Parashakthi college for women, Courtallam, Tamilnadu,  March 7-9, 2003.
  15. K.Srikanta Murthy, Doreswamy, G.Hemantha Kumar, P.Nagabhushan “Texture features for the prediction of period of an epigraphical script”, Proceedings of second National conference on Document Analysis and Recognition, July 11-12, 2003, PES College of Engineering, Mandya, pp 192-196.
  16. K.Srikanta Murthy, G.Hemantha Kumar, P.Nagabhushan “Neural Network classifier for the prediction of an epiraphical script”, Proceedings of National Workshop on signal Processing, Intelligent systems and Networking         (SPIN-2003), MSRIT, Bangalore, December 4-5, 2003, pp 36-42.
  17. K.Srikanta Murthy, G.Hemantha Kumar, P.Shivakumar  “Invariant Moments Based Feature Extraction for the Classification of Epigraphical Characters,” Proceedings of National conference, Venkateswara college of Engg, New Delhi, Dec 22-24,  2004.
  18. K. Srikanta Murthy, G.Hemantha Kumar, P.Shivakumar, P.R.Ranganath,  “Nearest Neighbor clustering based approach for line and character segmentation in epigraphical scripts”, Proceedings of International Conference on Cognitive Systems (ICCS-2004), New Delhi, December 14-15, 2004.
  19. K. Srikanta Murthy, G.Hemantha Kumar, P.Shivakumar,  “A Novel method based on rectangle fitting for noise removal in an epigraphical script,” Proceedings of 39th Annual convention of Computer Society of India, Mumbai, December 1-4, 2004, pp 166-171.
  20. K.Srikanta Murthy, G.Hemantha Kumar, “Prediction of Era of Epigraphical scripts based on texture features-A statistical approach”, Proceedings of National conference on convergence of linguistics, E-Governance & I.T. for making kannada- A Tech-savvy Language” , held at JNNCE, Shimoga on 21st and 22nd April 2006, pp: 62-71.
  21. Mahesh G, Asha, K.Srikanta Murthy, “ Analysis of sequential pattern mining methods (GSP, FreeSpan, Prefix Span) & Implementation of  prefix – projected  sequential pattern mining method – proceedings of national conference on Advanced  Multimedia processing & applications”, RVCE Bangalore Oct 28-29,  2005, pp 111-120.
  22. Srikanta Murthy, Panibhushan, Marigowda “ Role of Education, Science and   Technology in developing countries”,  proceedings of the Eighth State level convention of ISTE Nov 18-19, 2005, pp. 22. KVGCE  Sullia.
  23. Marigowda C.K. Srinkanta Murthy K., Thriveni J “Analysis of Different substitution method and implementation of vigenere  cipher” Proceedings of Two- day conference “ Innovative Talent Search” held at GSSSIET for women, Mysore during  21-22nd April 2006.
  24. Natarajan.S, Srikanta Murthy.K “Image sharpening using triple energy wells”, Proceedings International Conference on Artificial Intelligence and Pattern Recognition (AIPR-07), conference  held in Orlando, FL, USA during July 9-12 2007.
  25. Srikanta Murthy.K, Natarajan S, Narendra U.P “ Image enhancement using Triple Energy Wells- A Novel Approach”, Proceedings of  2nd  International Conference on Geometric Modeling And Imaging ( GMAI-07 held at Zurich, Switzerland during 4-6 July 2007, pp121-126
  26. Vipula Singh, Navin Rajpal, K. Srikanta Murthy, "Neuro-Wavelet Based Approach for Image Compression," cgiv, pp. 280-286,  Computer Graphics, Imaging and Visualisation (CGIV 2007),  Thailand, 2007
  27. Deepa. Lynn, Payal, Narendra, Natarajan, Srikanta Murthy “ An intelligent approach to Information  Retrieval”, Accepted for presentation at IADIS , International conference held at Vila Real, Portugal during October 5-8, 2007
  28. Vipula Singh, Navin Rajpal, K.Srikanta Murthy “Scalar Quantization and Vector Quantization based Wavelet model for Image Compression – A Comparative Study”, Proceedings of  International Conference on Content Based Image Retrieval”, ICCBIR-08, held at PES Institute of Technology during July 17th-19th 2008, pp 200-206
  29. Vipula Singh, Navin Rajpal, K.Srikanta Murthy “An algorithmic approach based on Fuzzy Vector Quantization and Wavelet decomposition for Image Compression”, Proceedings of  International Conference on Artificial Intelligence and Pattern Recognition (AIPR-08), conference held in Orlando, FL, USA during July 2008.
  30. Vipula Singh, Navin Rajpal, K.Srikanta Murthy “A Neuro Fuzzy Model for Image Compression in Wavelet Domain”, Proceedings of  at International Conference on Image and Signal Processing ICISP-08, held at Cherbourg-Octiville, France July 1st-3rd  2008
  31. Deepthi Narayan, Srikanta Murthy .K, G. Hemantha Kumar “Image Segmentation  Based on Graph Theoretical  Approach to Improve the Quality of Image Segmentation”  Proceedings of  WCSET 2008: World Congress on Science, Engineering and Technology,  August 30–31, September 01, 2008, Singapore pp 41-44
  32. Nandini N., Srikanta Murthy K. and G. Hemantha Kumar “ Estimation of Skew Angle in Binary Document  Images using Hough Transform”  Proceedings of  WCSET 2008: World Congress on Science, Engineering and Technology,  August 30–31, September 01, 2008, Singapore pp: 50-55 
  33. Deepthi Narayan, Srikanta Murthy .K, G. Hemantha Kumar “A Graph Theoretical  Approach using weighted Euclidean method to Improve the Quality of Image Segmentation”  Proceedings of  ICACCT 2008: 3rd International conference on Advanced Computing and Communication Technologies,  Nov 8-9, 2008, Panipat, India  
  34. Ganga Holi, K. Srikanta Murthy, G. Hemantha Kumar, Nitin Narasimhan, Suman Bharadwaj, Pavan Kulkarni, ”An Effective Technique to Enhance the Degraded Documents Using Singular Value Decomposition and Adaptive Thresholding”, 16th Korea-Japan, Joint Workshop on Frontiers of Computer Vision, Feb. 2010, pp 49-56.
  35. Ganga Holi, Srikanta Murthy K, G. Hemath Kumar, Nitin N, Pavan Kulkarni, Suman Bharadwaj ,, “Degraded Documents Image Enhancement Using Singular Value Decomposition”, Proceedings(in the form of CD) of Third  National Conference on Recent Research Trends on Advanced  Computing, April 9th 2010,Madhurai,India,RTAC123.
  36. Ganga Holi, Srikanta Murthy K , G. Hemanth Kumar, Riddhi J Shah, Swati D V, Sandhya B, “Application of Morphological Operations on Degraded Historical Document Image for Image Enhancement”, proceedings of  WASET International Conference on Digital Image Processing”, Rome Italy, 28-30 April 2010.(Proceeding book yet to receive)

Dr. Kalyani G Char
  1. K. Govinda Char, Constructive Learning with Genetic Programming, EuroGP-98, France.
  2. K. Govinda Char, Constructivist AI with GP (Late-breaking paper), the Genetic-Programming Conference, GP-97, Stanford, USA.
  3. K. Govinda Char, Constructivist AI with GP, IJCAI97, the International Joint Conference on Artificial Intelligence, Nagoya, Japan.
  4. K. Govinda Char, AI-Revisited, SOCO97, the ICSC Symposium on Soft Computing, France.
  5. K. Govinda Char, A Novel Approach to Artificial Intelligence, Tainn’97, the Sixth Turkish Symposium on Artificial Intelligence and Neural Networks, Baskent University, Turkey.
  6. K. Govinda Char, Modeling Self-organization - Approaches and a Comparison with Evolutionary Methods, BCEC97, the International Conference on Bio-Computing and Emergent Computation, Skovde, Sweden, published by World Scientific Publishing.
  7. K. Govinda Char, Evolution of Structure and Learning with Genetic Programming, IWANN’97, the International Workshop on Artificial Neural Networks, Canary Islands, Spain, published in the Lecture Notes in Computer Science.
  8. K. Govinda Char, Modeling Self-Organization- a Comparison, GWAL’97, the Second German Workshop on Artificial Life, University of Dortmund, Hans Bommerholz, Germany.
  9. K. Govinda Char and Walter Alden Tackett, Pattern Recognition (section F1.6) in the Handbook of Evolutionary Computation, 1997, Oxford University Press, USA.
  10. Walter Alden Tackett and K. Govinda Char, Genetic Programming Applied to Image Discrimination (section G8.2) in the Handbook of Evolutionary Computation, 1997, Oxford University Press, USA.
  11. K.G. Char, Self-organization with Adaptive Learning, ICML’96, the International Conference on Machine Learning, Bari, Italy.
  12. K.G. Char, A Learning Rule for Emerging Structures, WCNN96, the World Congress on Neural Networks, San Diego, USA.
  13. K.G. Char, Emergence of Structures in Self-organizing Neural networks using Genetic Programming and Cellular Encoding techniques, Tainn96, the National Conference on Artificial Neural Networks, Istanbul, Turkey.

Dr. Snehanshu Saha
  1. Distributed Routing in Wavelength division multiplexed Optical Networks— Computer Society of India Proceedings 2000
  2. 'A study on the b family of shallow water wave equations'-- Proquest/UMI ( ID #: 10023,2009) 3. Curves and singularities ---Mathematics Today,Vol 10 2001
  3. Challenging problems in combinatorics ---Mathematics Today Vol 11,2001
  4. Quantum mechanical DE’s and sp functions J.URI Vol 1,#23 2011
  5. “Ordinary Differential Equations- A structured approach”— Cognella publishing 2011
  6. Inquiry based techniques in applied differential equations— Digital Commons,Vol 1 # 12
  7. “Option value modeling and Black scholes formula”- Proceedings of AMS southwest section meeting, Albuquerque, NM 2010
  8. “Qualitative Analysis of b family of shallow water Wave equations” – Proceedings of AMS southwest section meeting, Albuquerque, NM 2010
  9. A few observations about locally convergent Newton iterative methods (Advanced Mathematical Analysis based proof techniques and Mat lab codes)-proceedings of SIAM Students conference, Clemson, SC. 2002
  10. Blow up of periodic peak-on solutions to b family of shallow water wave equations— ---AMS conference on Differential Equations 2008
  11. Hodgkin Huxley excitable cell modeling- simulation approach”- Clemson University Mathematics repository 2003
  12. Applied PDE Models in oceanography---- UT Arlington Math repository 2009

Mrs. Pooja Agrwal
  1. Published a book titled "Computer Oriented Numerical and Statistical Methods" as a co-author.
  2. Arya A., Agarwal P., Dangeti A., Pajaan A., Suresh A, Praveena S: “Automatic Fuzzy Classification tool for Customer Loyalty using Gaussian Membership Function. In Ciit Intl. J. of Data Mining and Knowledge Engineering(ISSN(print): 0974-9683, online:0974-9578) Aug 2010.
  3. A. Arya, P. Agarwal “Fuzzy Decision Tree based Automatic Classifier for Customer Loyalty”. In Proc of Intl. Conf. On Data Management, March 2010.