Dr. P. Perumal
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Dr. P. Perumal

Professor
Department of Computer Science and Engineering (UG), Sri Ramakrishna Engineering College, India

Highest Degree
Ph.D. in Information and Communication Engineering from Anna University, Chennai, India

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Area of Interest:

Computer Sciences
100%
Data Mining
62%
Image Processing
90%
Information Technology
75%
Software Engineering
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
25
Abstracts
23

Selected Publications

  1. Pitchandi, P., 2022. Wild Image retrieval with HAAR features and hybrid DBSCAN clustering For 3D cultural artefact landmarks reconstruction. Adv. Sci. Technol. Res. J., 16: 269-281.
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  2. Pitchandi, P., 2022. An efficient productive feature selection and document clustering (PFS-DocC) model for document clustering. Int. J. Adv. Comput. Sci. Appl., Vol. 13. 10.14569/IJACSA.2022.0130415.
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  3. Pichandi, C., P. Pitchandi, S. Kumar and N.M. Sudharsan, 2022. Improving the performance of a combined horizontal and vertical axis wind turbine for a specific terrain using CFD. Mater. Today: Proc., 62: 1089-1097.
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  4. Perumal, P., 2022. Document clustering using graph based fuzzy association rule generation. Comput. Syst. Sci. Eng., 43: 203-218.
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  5. Mathivanan, B. and P. Perumal, 2022. Gait recognition analysis for human identification analysis-a hybrid deep learning process. Wireless Pers. Commun., 126: 555-579.
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  6. Perumala, P., K. Sellamuthub, K. Vanithac and V.K. Manavalasundaram, 2021. Guava leaf disease classification using support vector machine. Turk. J. Comput. Math. Educ., 12: 1177-1183.
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  7. James, T.P.G., R. Ganesan, P. Kumar and P. Perumal, 2021. Development of a prototype power distribution misuse monitoring system. J. Phys.: Conf. Ser., Vol. 1964. 10.1088/1742-6596/1964/4/042025.
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  8. Ganesan, R., T.P.G. James, P. Perumal and P. Kumar, 2021. Machine learning-based solution predicting hardware faults. J. Phys.: Conf. Ser., Vol. 1964. 10.1088/1742-6596/1964/4/042067.
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  9. Indumathi, A. and P. Perumal, 2018. Improved text mining for bulk data using deep learning approach. Int. J. Comput. Sci. Inform. Security, 16: 251-254.
  10. Swathi, V., S.S. Kumar and P. Perumal, 2017. A novel fuzzy-bayesian classification method for automatic text categorization. Int. J. Scient. Res. Sci. Technol., 2: 233-239.
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  11. Sowmiya, H. and P. Perumal, 2017. Traffic aware partitioning and aggregation using map reduce with data security. Int. J. Pure Applied Math., 115: 629-635.
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  12. Pitchandi, P., S. Muthukumaravel and S. Boopathy, 2016. Content based segregation of pertinent documents using adaptive progression. Circuits Syst., 7: 1856-1865.
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  13. Perumal, P., M.S.G. Devasena and R. Ramya, 2016. Enhanced filter based personalized semantic search. Asian J. Inform. Technol., 15: 4844-4850.
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  14. Perumal, P. and N.A. Reddy, 2015. Data aware query suggestion by user click through feedback. Int. J. Contemp. Res. Comput. Sci. Technol., 1: 15-20.
  15. Perumal, P. and M. Kasthuri, 2015. A survey on opinion mining from online review sentences. Int. Res. J. Eng. Technol., 2: 1183-1189.
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  16. Perumal, P. and D. Anandhu, 2015. Video search reranking via cross reference based fusion strategy. Int. J. Trend Res. Dev., 2: 22-29.
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  17. Perumal, P., R. Nedunchezhian and C. Gomathi, 2013. An enhanced document clustering approach using optimization algorithm. Int. J. Res. Eng. Adv. Technol., 1: 1-7.
  18. Perumal, P. and R. Nedunchezhian, 2012. MLK-means-A hybrid machine learning based k-means clustering algorithm for document clustering. Int. J. Comput. Sci. Issues, 9: 282-293.
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  19. Perumal, P. and R. Nedunchezhian, 2012. Concept based document similarity based on suffix tree document clustering. Int. J. Comput. Sci. Eng. Technol., 3: 470-475.
  20. Perumal, P. and R. Nedunchezhian, 2012. An improved hybrid K-means clustering algorithm using machine learning and von-mises-fisher method for document clustering. Wulfenia J., 19: 51-72.
  21. Perumal, P., R. Nedunchezhian and D. Brindha, 2011. An empirical selection method for document clustering. Int. J. Comput. Applic., 31: 15-19.
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  22. Perumal, P. and R. Nedunchezhian, 2011. Performance evaluation of three model-based documents clustering algorithms. Eur. J. Scient. Res., 52: 618-629.
  23. Perumal, P. and R. Nedunchezhian, 2011. Performance analysis of standard k-means clustering algorithm on clustering TMG format document data. Int. J. Comput. Applic. Eng. Sci., 1: 406-412.
  24. Perumal, P. and R. Nedunchezhian, 2011. Improving the performance of multivariate Bernoulli model based document clustering algorithms using transformation techniques. J. Comput. Sci., 7: 762-769.