Dr. A. Poongodai
Qualification : Ph.D. (Pondicherry University)
Designation : Asst. Professor
Details of Educational Qualification:
Course | Specialization | Group | College Name/University | Year of Passing |
---|---|---|---|---|
Ph.D. | CSE | CSE | Pondicherry University | 2019 |
M.Tech. | CSE | CSE | Jawaharlal Nehru Technology University, Hyderabad | 2007 |
B.E. | CSE | CSE | Adhi Parasakthi Engineering College, Madras University | 2000 |
List of Publications
S.No | Title of the Paper | Full Details of Journal Name / Conference Name, Volume number, page number, Date |
---|---|---|
1 | A Novel Decision Support System for the Prognosis of Parkinson Disease | IEEE ISMAC 2022 Conference Proceedings, 10-12, Nov’ 2022 |
2 | Association between Demographic factors and Internet Banking Usage | Accepted in Lecture notes, Springer. |
3 | Prediction of polycystic ovarian syndrome using F3I based Machine Learning Approach for earlier treatment | Accepted in Lecture notes, Springer. |
4 | Internet Banking Usage and E-Service Quality Dimensions: A Pilot Study, | Accepted in International Conference on “Continuity, Consistency and Innovation in Applied Sciences and Humanities”, Sep 2022 |
5 | Biological inspired self-organized secure autonomous routing protocol and secured data assured routing in WSN: Hybrid EHO and MBO approach | International Journal of Communication system, Volume-35, Issue-4, https://doi.org/10.1002/dac.5044. |
6 | Fruit Detection Using Recurrent Convolutional Neural Network | Lecture Notes in Electrical Engineering book series (LNEE, volume 698), Springer Singapore. |
7 | Preventing Crime Using Advanced Artificial Intelligence Techniques | Proceedings of International Conference on Advances in Computer Engineering and Communication System – ICACECS 2020, 978-981-15-9292-8, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Springer. |
8 | Regression Based on Examining Population Forecasting Accuracy | International Journal of Recent Technology and Engineering (IJRTE), 2277-3878, Volume-8, Issue-1S4, June 2019. |
9 | A Command Line Tool for Tracking Error Details of Program using Web Scrapper | International Journal of Recent Technology and Engineering (IJRTE), 2277-3878, Volume-8, Issue-2S11, September 2019. |
10 | A Novel Method for prediction of Parkinson Disease (Voice Dysphonia): Statistical Approach | International Journal of Control Theory and Application, vol. 10, No. 1, ISSN : 0974 |
11 | Generic Method for Tracking the Progressiveness of Parkinson Disease (speech signal): Regression Technique | International Journal of Control Theory and Application. |
12 | An Empirical approach for fuzzy rules using Classification and Regression Tree | International Journal of Control Theory and Application and Proceedings of the 2nd International Conference on Sustainable Computing Techniques in Engineering, Science and Management (SCESM) |
13 | Prognostic System for Parkinson Disease (An overview) | International Journal of Advanced Research in Computer and communication Engineering, Vol.3, Issue 8. (IF – 5.359). |
14 | AI Technique in Diagnostics and Prognostics | International Journal of Computer Applications (0975 – 8887), 2nd National Conference on Future Computing. (IF - 3.1524). |
15 | iGain - Apriori: An interest gain based rule assessment for Association Rule Mining | International Journal of Scientific and Research Publications, Volume 2, Issue 1. |
16 | Extended Apriori for association rule mining: Diminution based utility weightage measuring approach | Global Journal of Computer Science and Technology, Vol 11 Issue 22, Online ISSN: 0975-4172 & Print ISSN: 0975-4350. |
17 | Mining Weighted Association Rules | IJAEST, International Journal of Advanced Engineering Sciences and Technologies, Vol No. 11, Issue No. 1, pp. 153 - 156. |
18 | An Ontology Based Search for Relevant Pages Using Semantic Web | International Journal of Advanced Engineering Sciences and Technologies, Vol.11, Pp. 106 – 110. |
19 | Detection and Removal of Short Gun Surgery Bad Smell | International Journal of Computational Intelligence and Information Security, vol. 1, no. 8. |