MCA

The Department executes a well-planned syllabus accompanied with topics covered beyond syllabus to gratify the needs of changing technology. 

Research Projects

               
Faculty Involved Project Title Description
Tamilkodi - R. - Nesakumari - G.R. A novel framework for retrieval of image using weighted edge matching algorithm. Multimed Tools Appl 80 19625–19648 (2021). https://doi.org/10.1007/s11042-020-10452-0
R - Tamilkodi. - Nesakumari - G.R. Image retrieval system based on multi feature extraction and its performance assessment Int. j. inf. tecnol. (2021). https://doi.org/10.1007/s41870-020-00556-z
Tamilkodi - R. Automation System Software Assisting Educational Institutes for Attendance - Fee Dues - Report Generation Through Email and Mobile Phone Using Face Recognition - Wireless Pers Commun 119 1093–1110 (2021). https://doi.org/10.1007/s11277-021-08252-2

R - Tamilkodi. - Nesakumari

G.R A novel approach of image retrieval towards segmentation

International Journal of Image Mining 2021 Vol.4 No.1 pp.46 – 58 10.1504/IJIM.2021.115753
Faculty Involved Project Title Description
R.Tamilkodi and G.Rosline Nesakumari. (2020). An Innovative Method for Image Retrieval using Weighted Edge Matching Algorithm International Journal of Advanced Science and Technology 29(11s) 1256 - 1267. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/20819
R.Tamilkodi and G.Rosline Nesakumari (2019) An innovative method of retrieving images through clusters means and wavelet transformation Int. j. inf. tecnol. 11 697–706 (2019). https://doi.org/10.1007/s41870-018-0257-2
R.Tamilkodi and G.Rosline Nesakumari (2019) A new approach for retrieval of image with clustering techniques and local mean histogram Journal of Advanced Research in Dynamical and Control Systems ISSN 1943-023X Vol. 11 No. 6
R.Tamilkodi and G.Rosline Nesakumari (2020) An Innovative Method for Image Retrieval using unique feature extraction Algorithm International Journal of Advanced Science and Technology Vol. 29 No. 11s (2020) pp. 1256-1267
Faculty Involved Project Title Description
R.Tamilkodi Utilizing Contemporary Benchmark Protocol for Sharing Mobile Ad-hoc Network Environment International Journal of Advanced Trends in Computer Science and Engineering Volume 7 No.6 November - December 2018 ISSN 2278-3091 https://doi.org/10.30534/ijatcse/2018/04762018
R.Tamilkodi A New Approach Towards Image Retrieval Using Texture Statistical Methods International Journal on Infomatics Visulaization Vol 2 (2018) No.1 ISSN:2549-9904 http://dx.doi.org/10.30630/joiv.2.1.60
R.Tamilkodi A novel method for query based image retrieval using prototype based clustering Int. J. Image Mining Vol. 3 No. 1 2018 (Inder science-Free) DOI: 10.1504/IJIM.2018.093020
R.Tamilkodi Narrative Move Towards the Exploration of Gauging of Image Quality International Journal On Informatics Visualization Vol 3 (2019) NO 3 e-ISSN : 2549-9904 ISSN : 2549-9610 http://dx.doi.org/10.30630/joiv.3.3.261
Faculty Involved Project Title Description
R.Tamilkodi and G.Rosline Nesakumari A novel method for query based image retrieval using prototype based clustering Int. J. Image Mining Vol. 3 No. 1 2018
R.Tamilkodi and G.Rosline Nesakumari A Novel Approach towards Machine Learning in Image Retrieval International Journal of Pure and Applied Mathematics Volume 119 No. 15 2018 1081-1097
R.Tamilkodi and G.Rosline Nesakumari A New Approach Towards Image Retrieval Using Texture Statistical Methods INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION VOL 2 (2018) NO 1 e-ISSN : 2549-9904 ISSN : 2549-9610
Faculty Involved Project Title Description
R.Tamilkodi A new approach anticipated for CBIR by means of Local and Global Mean ICKDCI 2017 Conference Vels University.
R.Tamilkodi An innovative method of acquiring optimization for image retrieval via data clustering method based on segmentation Computing sustainable global development (INDIACOM) 2016 3rd international conference 16-218 march 2016.
R.Tamilkodi Assessment of CBIR for medical images associated with low level and high level features Int. J. Image Mining ISSN: 0975-8585
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