Year : 2022
Detection and Classification of Brain Tumor on MR Imaging using Deep Neural Network based VGG-19 Architecture
Cite this Research Publication : Saranya, G,&Venkateswaran H, (2022). Detection and Classification of Brain Tumor on MR Imaging using Deep Neural Network based VGG-19 Architecture. PERIODICO di MINERALOGIA, vol. 19, no. 4, pp.672-683
Year : 2018
Model Level Code Smell Detection Using EGAPSO Based on Similarity Measures
Cite this Research Publication : Saranya, G, Khanna Nehemiah, H & Kannan, A, (2018). Model Level Code Smell Detection Using EGAPSO Based on Similarity Measures, Alexandria Engineering Journal, Elsevier, vol.57, no.3, pp.1631-1642
Year : 2018
Prioritizing Code Smell Correction Task Using SPEA Algorithm
Cite this Research Publication : Saranya, G, Khanna Nehemiah, H & Kannan, A, (2018). Prioritizing Code Smell Correction Task Using SPEA Algorithm. Indian Journal of Science and Technology (IJST), vol. 11, no.20, pp.1-12. https://dx.doi.org/10.17485/ijst/2018/v11i20/122472
Year : 2018
Hybrid Particle Swarm Optimization with Mutation for Code Smell Detection
Cite this Research Publication : Saranya, G, Khanna Nehemiah, H & Kannan, A, (2018). Hybrid Particle Swarm Optimization with Mutation for Code Smell Detection, International Journal of Bio-inspired Computation(IJBIC), Inderscience Publishers, vol.12, no.13, pp.186-195
Year : 2015
Hybrid Algorithm for Clustering Gene Expression Data
Cite this Research Publication : Susmi, S. J., Nehemiah, H. K., Kannan, A., &Saranya, G. (2015). Hybrid Algorithm for Clustering Gene Expression Data. Research Journal of Applied Sciences, Engineering and Technology, 11(7), pp.692-700
Year : 2013
Analysis and Modeling of multivalued attributes in entity-relationship Modeling: An approach for improved database design
Cite this Research Publication : Vimala, S., Khanna Nehemiah, H., Saranya, G., & Kannan, A. (2013). Analysis and Modeling of multivalued attributes in entity-relationship Modeling: An approach for improved database design. Computer systems science and engineering, 28(4), pp.217-223.