Dr. Sridevi Narayanan


Personal Information:
Assistant Professor, Computer Studies
n.sridevi@utb.edu.bh
Telephone Number
17787975
Academic Qualification:
Doctor of Philosophy Major in Computer Science
Master of Computer Applications
Bachelor of Science Major in Computer Science

Research and Publication:

Machine Learning Based Product Recommendation”, Business Research Journal, AMAIUB, July 2020.
Sentiment Analysis Using Machine Learning Techniques”, Business Research Journal, AMAIUB, Vol.07, No.01, pp.no: 116 -122, August 2019, ISSN No. 2210-0636.
Heart Disease Prediction Using Data Mining Techniques”, Journal of Analysis and Computation, Vol.13,Issue 2, pp.no:48-55, February 2019, ISSN No.0973-2861 (UGC Approved no:26412)
“Prediction of Breast Cancer using Decision tree and Random Forest Algorithm”,  International Journal of Computer Sciences and Engineering, Vol. 6, Issue 2, pp.no: 226 – 229, February 2018, ISSN No. 2347-2693 (UGC Approved no: 63193)
Classification of Handwritten Ancient Tamil Scripts Using Complex Extreme Learning machine With Differential Evolution Technique”International Journal of Engineering Applied Sciences and Technology, Vol. 2, Issue 1, pp.no: 15-21, December 2016, ISSN No. 2455-2143
“Optimized Framework for Classification of 11th Century Handwritten Tamil Scripts Using Computational Intelligence Technique”, The International Journal of Computer Science and Application, Vol.2,No.2,pp.no:14-23,April 2013, ISSN:2278-1080.
“Classification of Handwritten Ancient Tamil Characters using Complex Extreme Learning Machine”, International Journal of Emerging Trends in Computer Science and Applications, Vol.4,No.2,pp.no:147-151,March-May2013, ISSN:2279-0047 (Print), 2279-0055(Online).
“Combining Zernike Moments and Regional Features for Classification of Handwritten Ancient Tamil Scripts using Extreme Learning Machine”, IEEE International conference on Emerging Trends in computing, communication and Nanotechnology ,2013,pg.no: 158-162,ISBN: 978-1-4673-5036-5, citation index – 1
“Skew Detection and Correction of Ancient Tamil Documents using Particle Swarm Optimization”, Fourth International Conference on Digital Image Processing (ICDIP 2012) Malaysia, Proceedings of SPIE, Vol. 8334, 83340U,2012, ISBN: 978-0-8194-8991-3.Scopus indexed.
“Moment Based Feature Extraction for Classification of Handwritten Ancient Tamil Scripts” International Journal of Emerging Trends in Engineering and Development (IJETED), Vol.7, No.2, pp.no:106-115, November 2012, ISSN: 2249-6149, IC Value: 5.8.
“Segmentation of Text Lines and Characters in Ancient Tamil Script Documents using Computational Intelligence Techniques”, International Journal of Computer Applications (IJCA), Volume 52– No.14,pg.no:7-12, August 2012, ISBN : 973-93-80870-17-6, Impact factor: 0.814, citation index-4
“An optimal Binarization algorithm based on Particle Swarm Optimization”, International Journal of Soft computing and Engineering (IJCSE), Vol.1, No.4,pp.no:32-36, September 2011, ISSN: 2231-2307, Impact factor: 1.0,citation index-4
“Period Prediction System for Tamil Epigraphical Scripts based on Support Vector Machine“, Proceeding of International Conference on Information Systems for Indian Language 2011, Punjab, March 9-11, 2011, Communications in Computer and Information Science, Springer, Vol 139, pp.no: 23-30, ISSN 978-3-642-19402-3, citation index – 2
“A suitable framework for Recognition of Epigraphical Tamil Scripts using Unsupervised Learning Algorithm”, Proceeding of International Conference on Mathematics and Computer Science, ICMCS 2011, January 7-8, 2011 pg.394-398, ISBN: 978-81-920490-0-7.
“A study on Offline Recognition of Handwritten Tamil Characters using Computational Intelligence Techniques”, Proceedings of the Second National Conference on Advanced Computing, September 2010, pp.no: 257-263, ISSN: 0975-0290.
Membership in Professional Organizations:
Teaching and Education Research Association (Membership ID: TERA-M19857)