Dr. M. Sudha
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Dr. M. Sudha

Associate Professor
VIT University, India

Highest Degree
Ph.D. in Information Technology and Engineering from VIT University, India

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Area of Interest:

Computer Sciences
100%
Computational Intelligence
62%
Information Technology
90%
Network Security
75%
Data Analysis
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Sudha, M., 2019. Applied Computational Intelligence. Educreation Publication, India, ISBN: 978-1-5457-2986-1, pp: 126.
  2. Karthik, S. and M. Sudha, 2018. A survey on machine learning approaches in gene expression classification in modelling computational diagnostic system for complex diseases. Int. J. Eng. Adv. Technol., 8: 182-199.
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  3. Sudha, M., 2017. Weather modeling using data-driven adaptive rough-neuro-fuzzy approach. Curr. World Environ., 12: 429-435.
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  4. Sudha, M., 2017. Soft Computing Techniques in Weather Science. Lambert Academic Publisher, Germany, ISBN: 978-3-330-07801-7, pp: 160.
  5. Sudha, M., 2017. Intelligent decision support system based on rough set and fuzzy logic approach for efficacious precipitation forecast. Decis. Sci. Lett., 6: 95-106.
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  6. Sudha, M., 2017. Instant medical care and drug suggestion service using data mining and machine learning based intelligent self-diagnosis medical system. Int. J. Adv. Life Sci., 10: 318-325.
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  7. Sudha, M., 2017. Evolutionary and neural computing based decision support system for disease diagnosis from clinical data sets in medical practice. J. Med. Syst., Vol. 41. 10.1007/s10916-017-0823-3.
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  8. Sudha, M., 2017. Computational intelligence based sports success prediction system using functional pattern growth tree-A case study. Int. J. Comput. Intell. Res., 13: 2431-2438.
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  9. Sudha, M., 2017. Agronomic disaster management using artificial intelligence–A case study. Int. J. Comput. Sci. Bus. Intell., 17: 12-22.
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  10. Sudha, M. and K. Subbu, 2017. Statistical feature ranking and fuzzy supervised learning approach in modeling regional rainfall prediction systems. AGRIS On-line Pap. Econ. Inform., 9: 117-126.
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  11. Sudha, M., 2016. Disease diagnosis using association rule mining based knowledge inference system. Int. J. Pharm. Technol., 8: 16369-16379.
  12. Sudha, M. and B. Valarmathi, 2016. Identifying effective features and classifiers for short term rainfall forecast using rough sets maximum frequency weighted feature reduction technique. J. Comput. Inform. Technol., 24: 181-194.
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  13. Sudha, M. and B. Valarmathi, 2015. Impact of hybrid intelligent computing in identifying constructive weather parameters for modeling effective rainfall prediction. AGRIS On-Line Pap. Econ. Inform., 7: 151-160.
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  14. Sudha, M. and B. Valarmathi, 2015. Back propagation neural network: An interactive tool for effective rainfall prediction. Crop Res., 50: 131-140.
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  15. Sudha, M. and B. Valarmathi, 2014. Rainfall forecast analysis using rough set attribute reduction and data mining methods. Agris On-line Pap. Econ. Inform., 6: 145-154.
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  16. Sudha, M. and B. Valarmathi, 2014. Identification of significant attribute set from multivariate rainfall data using principle component analysis. Int. J. Applied Environ. Sci., 9: 1595-1602.
  17. Sudha, M. and M. Monica, 2013. Web based network analyser for simplified network management. Int. J. Applied Eng. Res., 8: 1849-1854.
  18. Sudha, M. and M. Monica, 2013. Dynamic data migration using distributed databases across the network. Int. J. Applied Eng. Res., 8: 1855-1861.
  19. Sudha, M. and B. Valarmathi, 2013. Exploration on feature selection based on rough set approach. Int. J. Applied Eng. Res., 8: 1555-1568.
  20. Sudha, M. and M. Monica, 2012. Research agenda on secure high performance computing facility in cloud environment. Adv. Inform. Technol. Manage., 1: 153-157.
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  21. Sudha, M. and M. Monica, 2012. Optimization of security mechanism to enhance data access speed in wireless mesh networks. Adv. Comput. Sci. Applic., 1: 251-255.
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  22. Sudha, M. and M. Monica, 2012. Multi level adaption for efficient workflow management in cloud computing. Adv. Comput. Sci. Applic., 1: 261-266.
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  23. Sudha, M. and M. Monica, 2012. Modern internet model using distributed resources for dynamic webpage fetching. J. Expert Syst., 1: 44-50.
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  24. Sudha, M. and M. Monica, 2012. Enhanced security framework to ensure data security in cloud computing using cryptography. Adv. Comput. Sci. Applic., 1: 32-37.
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  25. Sudha, M. and M. Monica, 2012. Dynamic adaptive workflow scheduling for instance intensive cloud applications. J. Expert Syst., 1: 31-38.
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  26. Sudha, M. and M. Monica, 2012. Design and modeling of a web portal on private cloud using open source. Adv. Inform. Technol. Manage., 1: 170-175.
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  27. Sudha, M. and D.K. Ronak, 2011. Comprehensive server protection framework for conventional modern firm. Int. J. Res. Rev. Comput. Sci., 2: 205-210.
  28. Sudha, M., B.R. Rao and M. Monica, 2010. A comprehensive framework for data protection in network centric cloud applications. Int. J. Comput. Applic., 12: 19-23.
  29. Sudha, M. and M. Monica, 2010. Investigation on efficient management of workflows in cloud computing environment. Int. J. Comput. Sci. Eng., 2: 1841-1845.
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  30. Sudha, M. and M. Monica, 2010. A simplified network manager for grid and presenting the grid as a computation providing cloud. Int. J. Adv. Res. Comput. Sci., 1: 173-176.
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