Mr. Anandh Nagarajan
Qualification : M.E., (Ph.D.) (VITUniversity)
Details of Educational Qualification:
| Course | Specialization | Group | College Name/University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | CSE | CSE | VIT University | Pursuing |
| M.E. | CSE | CSE | Shreenivasa Engineering College | 2013 |
| B.E. | CSE | CSE | Muthayammal Engineering College | 2005 |
List of Publications
| S.No | Title of the Paper | Full Details of Journal Name / Conference Name, Volume number, page number, Date |
|---|---|---|
| 1 | Dos attack detection in wireless network using Rinjdael algorithm | International journal of advanced and innovative research, ISSN: 2278-7844, Ref.No- IJAIR/13/11/02/72, Volume 2 Issue 11 November 2013 |
| 2 | An efficient classification approach for recognition of Facial age using furthest nearest neighbor criterion | International journal of advanced and innovative research ISSN: 2278-7844, Ref.No- IJAIR/13/12/02/88, Volume 2 Issue 12 December 2013 |
| 3 | Double-Phase micro aggregation for DE identification of biomedical data | International journal of advanced and innovative research ISSN: 2278-7844, Ref.No- IJAIR/14/01/03/08, Volume 3 Issue 1 January 2014 |
| 4 | Micro aggregation for the protection of microdata | International journal of advanced and innovative research ISSN: 2278-7844, Ref.No- IJAIR/14/03/04/22, Volume 3 Issue 4 April 2014 |
| 5 | Segmentation and classification of skin lesions based on texture features | International journal of Engineering research and application ISSN: 2248-9622, Ref.No- IJERA, Volume 4 Issue 12 December 2014 |
| 6 | Secure and Reliable Data transmission in Generalized E-mail | International journal of Engineering research and application ISSN: 2248-9622, Ref.No- IJERA, Volume 4 Issue 12 December 2014 |
| 7 | On modeling malware propagation in E-mail by using OLSR protocol, | International journal of innovative research in science, engineering and technology ISSN: 2319-8753 ISSN(print) : 2347-6710, Ref.No- IJIRSET, Volume 4 Special Issue 6 May 2015 |
| 8 | Study of Deep Learning Techniques for Differently Abled Applications and Detection Techniques. | Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(12), 1294-1308. [Scopus] |
| 9 | Prediction of cardiovascular disease using least absolute shrinkage and selection operator algorithm. | International Journal of Health Sciences, 6(S5), 12278–12294. https://doi.org/10.53730/ijhs.v6nS5.11339 |
| 10 | Fused Medical Image Classification Based on Neighboring Pixel Centered Sparsity Classification Method with Artificial Bee Colony Optimization | Neuro Quantology . ISSN: 1303-5150, Vol. 20, Issue 10 (2022), pp. 9051-9062. Scopus, Impact Factor: 0.453 |
| 11 | Hybrid Optimization-Enabled Deep Learning for Indoor Object Detection and Distance Estimation to Assist Visually Impaired Persons | Advances in Engineering Software, 176, 103362. https://doi.org/10.1016/j.advengsoft.2022.103362 |
| 12 | Resnet Features and Optimization Enabled Deep Learning for Indoor Object Detection and Object Recognition | Cybernetics and Systems, DOI: 10.1080/01969722.2022.2151178 |
| 13 | An Extensive Study On Generic Facial Recognition Phases and Classification Of 2d Algorithms, | Journal of Emerging Technologies and Innovative Research (JETIR / Vol 10 / Issue 3 / 034) Published inVolume 10 | Issue 3 | 2023-03-25 page No: 179-185 |
Book Chapters
- Anand, N., &Prabu, S. (2021). Sujatha, R., Aarthy, S.L., & Vettriselvan, R. (Eds.). (2021). Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics (1st ed.). Pages (33-56) CRC Press. https://doi.org/10.1201/ebook ISBN 9781003038450