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Dr. S. Jansi

Qualification : Ph.D.

Details of Educational Qualification:

Course Specialization Group College Name/University Year of Passing
Ph.D. Computer Science Computer Science Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 2016
M.C.A. Computer Applications M.C.A Madurai Kamaraj University, Madurai. 2009
B.C.A. Computer Applications B.C.A. Madurai Kamaraj University, Madurai 2006

Note : Students are advised to meet me in WB - III Floor at any time other than my class hours mentioned in the below timetable for any discussions related to the subjects & research.

My Schedule for 2022-23

                           

My Publications

S.No Title of the Paper Full Details of Journal Name / Conference Name, Volume number, page number, Date
1 “Modified FCM using Firefly Algorithm for MRI Brain Tissue Segmentation” International Journal of Applied Engineering Research (IJAER), ISSN Print: 0973-4562, Online:1087-1090, Vol. 9, Issue. 24, pages: 23755-23764, Dec 2014. Indexed by Scopus. Cited by 3.
2 “A Novel Fuzzy Clustering based Modified Firefly Algorithm with Chaotic Map for MRI Brain Tissue Segmentation”, MAGNT Research Report, ISSN No: 1444-8939, Volume 3, No:1, Pages: 52-58, Dec 2014. Indexed by ISI Thomson Reuters. Cited by 3
3 “Optimized Fuzzy C Means Segmentation in MRI Brain Images”, Proceedings of GASCIAN Journal of Science & Applications (GJSA), ISSN No: 2348-0440, Volume 2, N0.1, Pages: 1-10, Jan-June 2014.
4 “Particle Swarm Optimization Based Total Variation Filter for Image Denoising”, Journal of Theoretical and Applied Information Technology (JATIT), ISSN No: 1992-8645, E-ISSN No: 1817-3195, Pages: 169-173, Nov 2013. Scopus Indexed, Impact Factor: 1.71, Cited by 9.
5 “Partial Differential Equation based Denoising Technique for MRI Brain Images”, Australian Journal of Basic and Applied Sciences, ISSN No: 1991-8178, Vol.7(11) Sept 2013, Pages: 201-205. Indexed by Thomson Reuters, Cited by 2.
6 “Optimized Adaptive Thresholding based Edge detection Method for MRI Brain Images”, International Journal of Computer Applications ISSN:0975 –8887, Volume 51, No.20, Pages:1-8, August 2012. Impact factor: 0.821, Cited by 23.
7 “Optimal Thinning Algorithm for detection of FCD in MRI Images”, International Journal of Scientific & Engineering Research, ISSN:2229-5518, Vol 2, Issue 9, Pages: 1-7, September 2011, Cited by 8.
8 “Anticipating Heart Disease Using C4.5 Classification Augmented With Feature Selection”, International Journal for Research & Development in Technology, Vol 6, Issue 5, December 2016.
9 “Anticipating the Chronic Kidney Disorder using performance optimization in AdaBoost and MultiLayer Perception”, Imperial Journal of Interdiciplinary Research, ISSN : 2454-1362, Vol 3, Isuue 2, February 2017. Cited by 1.
10 “Accelerating Unique Strategy for Centroid Priming in K-Means Clustering”, International Journal for Innovative Research in Science & Technology, ISSN (online): 2349-6010, Vol 3, Issue 7, December 2016
11 “Optimized Segmentation for MRI Brain Images”, IEEE Tencon, Asia Pacific Region 10 Conference, Macau, China. ISBN No: 978-1-4799-8639-2, Pages: 1-6, Nov 2015. Indexed by Scopus. Cited by 9
12 “Modified FCM using Genetic Algorithm for segmentation of MRI Brain Images”, Proceedings of International Conference on Computational Intelligence and Computing Research (ICCIC), IEEE Xplore Digital Library, ISBN No: 978-1-4799-3974-9, Pages: 1381-1385, Dec 2014. Indexed by Scopus, Thomson Reuters. Cited by 16.
13 “Partial Differential Equation Based ROF Filter for MRI Brain Images”, International Conference on Computer Communication and Informatics (ICCCI), IEEE Xplore Digital Library, ISBN No: 978-1-4799-2353-3, pages: 1-4, Jan 2014, Indexed by Scopus, Cited by 1.
14 “A Study on Detection of Focal Cortical Dysplasia Using MRI Brain Images”, Proceedings Of The Third National Conference On Emerging Issues In Computer Applications, ISSN: 0974-1925, Vol. 4, Issue 1, pp.23-28, Jan 2011. Cited by 1.