1. V.Subha, Jency Rani, Dr.D.Murugan,”Comparative analysis of classification techniques using cardiotocography dataset’, International Journal of research in Information Technology, Vol1 Issue12, December 2013.
2. V.Subha and Dr.D.Murugan, “Fetal state determination using Support Vector Machine and Firefly Optimization”, International Journal of Knowledge Based Computer System, vol. 2. No.2, pp.7-12, 2014.
3. V.Subha, Dr.D.Murugan, S.Prabha and A.ManivannaBoopathi, “Genetic Algorithm based feature subset selection for fetal state classification”, Journal of Communications Technology, Electronics and Computer Science, vol. 2, pp.13-17, 2015.
4. V.Subha,M.Revathi,D.Murugan,”Comparative analysis of Support Vector Machine ensembles for heart disease prediction”,International journal of Computer Science and Communication Networks,Vol 5,pp.386-390,2015.
5. V.Subha, Dr.D.Murugan, “Opposition-based Firefly Algorithm Optimized Feature Subset Selection Approach for Fetal Risk Anticipation”, Machine Learning and Applications: An International Journal, Vol. 3, No. 2, pp.55-64, 2016.
6. V. Subha, Dr. D. Murugan and A.Manivanna Boopathi, “A Hybrid Filter-Wrapper attribute reduction approach for Fetal risk anticipation”, Asian journal of research in social sciences and humanities ,Vol 7,Issue 2,pp 1094-1106, 2017.
7. V.Subha, G.Mariammal,”Comparative analysis of Palmprint matching techniques for person identification”,International journal of Advanced research in Computer Science,Vol 8,pp 661-664,2017.
8. V.Subha, Zhongheng Zhang et.al,”Variable selection in Logistic regression model with genetic algorithm”,Annals of translational medicine,Vol 6,Issue 3,2018.
9. V.Subha, M. Sahaya Pretha “An Expansive Study of Facial Approaches”, International Journal of Computer Sciences and Engineering, Volume 6, Issue – 5, Pages 1165-1171, 2018.
10. V Subha, Z Cömert, “Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment”, Computers in biology and medicine, Volume 99, Pages 85-97, 2018, H.I 2.168 (Elsevier).
11. V.Subha, M.Sahaya Pretha “Phishing Attacks and Related Techniques: A Survey” International Journal of Emerging Technologies and Innovative Research (UGC and ISSN Approved), ISSN: 2349-5162, Vol-6, Issue-2, February 2019.
12. V.Subha, Niraja P Rayen “A Survey on Optic Detection and Segmentation Techniques” International Journal of Emerging Technologies and Innovative Research (UGC and ISSN Approved), ISSN: 2349-5162, Vol-6, Issue-2, February 2019.
13. V.Subha, K.ParvathSuman “Techniques for Detection of Fetel Hypoxia from Cardiotocography Signals: A Survey” International Journal of Emerging Technologies and Innovative Research (UGC and ISSN Approved), ISSN: 2349-5162, Vol-6, Issue-2, February 2019.
14. V.Subha, M.Sahaya Pretha, R.Manimegalai, “Malicious URL Classification Using Data Mining Techniques”, Journal of Analysis and Computation (JAC), ISSN 0973-2861, UGC Approved, April 2019.
15. V.Subha, A Boopathi, MohamedAli,”Pressure Regulation in Proton Exchange Membrane Fuel Cell using Direct Active Fuzzy Non-Linear Controller”, International Journal of Computing and Digital Systems, Vol9,Issue 1,January 2020. (SCOPUS).
16. Subha V,Zafer Comert et.al,”Determination of tympanic membrane region in the middle ear otoscope images with convolutional neural network based YOLO method”,Dokus Eylul University Faculty of Engineering Journal of Science and Engineering,Vol 22,Issue 66,pp 919-928,2020.
17. Subha V, A Boopathi, MohamedAli EA,”Forecasting the generation and consumption of electricity and water in kingdom of Bahrain using Grey Models “, International Journal of Computing and Digital Systems, Vol10,pp 1-8,April 2021.(SCOPUS)
18. Subha V, A Boopathi, MohamedAli EA,”Forecasting the generation and consumption of electricity and water in kingdom of Bahrain using Grey Models “, International Journal of Computing and Digital Systems, Vol10,pp 1-8,April 2021.(SCOPUS)
19. Subha V,Niraja P.Rayen,”A novel visual saliency thresholding method for accurate ROI segmentation in optic discfrom FEIs for Glaucoma detection”, International Journal of Computing and Digital Systems ,2021, Vol 11,Issue 1, https://dx.doi.org/10.12785/ijcds/110139 , ISSN: 2210-142X (SCOPUS).
20. M Boopathi A, M Ali EA, S Velappan, Forecasting Oil and Gas Production and Consumption in Kingdom of Bahrain using Optimized Grey Forecasting Models - International Journal of Computing and Digital System, 2021.
21. V Subha, M. Sahaya Pretha “Phishing Detection: A Comprehensive Comparative Analysis of Techniques and Tools”, Design Engineering (Issue 9), 4851 – 4866, 2021. (SCOPUS).
22. G. Gomathi, Dr. V.Subha, “Semantic Segmentation of Ventricular and Myocardium Regions in Cardiac MRI”, ”, Design Engineering (Issue 9), pp. 8510-8522, Dec. 2021. (SCOPUS).
23. V.Subha, S.Mary Selvi “Otitis Media Detection using Tympanic Membrane Images with Automated Image Segmentation Techniques” Design Engineering ISSN: 0011-9342 | Year 2021 Issue: 9 | Pages: 6437- 6445 [6437] (SCOPUS).
24. S.Rajan, Dr.V.Murugan, Dr.V.Subha, “A COMPREHENSIVE ANALYSIS ON VECHICLE NUMBER PLATE DETECTION USING DEEP LEARNING APPROACHES”, International Journal of Mechanical Engineering Vol. 6 (Special Issue, Nov.-Dec. 2021) ISSN: 0974-5823.
25. Gomathi, G., & Subha, V, DPA-UNet: Detail preserving attention UNet for cardiac MRI ventricle region segmentation. International Journal of Health Sciences, 6(S1), Pp: 11833- 11852. https://doi.org/10.53730/ijhs.v6nS1.7903. (2022). ISSN: 1658-3639 (SCOPUS).
26. V.Subha, G.Gomathi,A.Manivanna Boopathi, “DPA-UNet: Detail preserving attention UNet for cardiac MRI ventricle region segmentation”, International Journal Of Health Sciences, Vol 6, 2022.(SCOPUS).
27. V.Subha, G.Gomathi,A.Manivanna Boopathi, “An Investigation of Deep Supervised Approaches for Ventricle Region Segmentation using Cardiac MRI”, Tuijin Jishu/Journal of Propulsion Technology, Vol 44, No. 6, 2023.(SCOPUS).
28. V.Subha, G.Gomathi,A.Manivanna Boopathi, “An exploration of ventricle regions segmentation and multiclass disease detection using cardiac MRI”, International Journal of Imaging Systems and Technology, Vol 34, No. 1, 2024.(SCIE).
Disclaimer: The details in the webpages on view more option are fully maintained by the faculty members concerned. The university is not responsible for any data provided in the view more option in faculty profile.
