Dr. N Sivakumar

Patents:

• Woman intelligent safety device using machine learning (202041005798).
• Ensemble multi-stage system and method to predict under water seismic rated on aquatic behaviour (202011009855)
• Recognition of ocular disease from fungus images using machine learning approach (202341027529).
• Clarification of fetal health in womb using cardiotogram data and machine learning approach (202321035280).
• Computer aided design for targeted drug delivery system (202341033454).

 Book Published:

• Artificial Intelligence with Machine Learning. Notion press 1st edition (22 august 2022).

 International Journals:

• Sivakumar, “Provisioning a risk predictor model for Alzheimers disease using an improved deep network model.” Multimedia Tools and Applications (SCI), https://doi.org/10.1007/s11042-023-16858-w, 19 September 2023. Impact factor : 3.6
• Janarthanan, V. Murgesh, N. Sivakumar, S. Manoharan “An Efficient Face Detection And Recognition System Using RVJA And SCNN” Mathematical Problems In Engineering (Scopus), Vol 2022, ID 7117090, Nov 2022. https://doi.org/10.1155/2022/7117090
• Dhanalakshmi, P., Sivakumar, N., Kumari, K. A., Kumar, S., & Alla, P. C. R. (2022). Image-based classification of healthy and diseased bell pepper using the transfer learning method. International Journal of Health Sciences, 6(S4), 6773–6784. https://doi.org/10.53730/ijhs.v6nS4.9631.
• K.Mariyappan, Dr.N.Sivakumar” Comparison Analysis Study In To Palm Print Image Acquisition Methods” journal of critical reviews JCR. 2020; 7(6): 1821-1825.
• Sivakumar & Dr.R.Balasubramanian., “Credit Card Fraud Detection: Incidents, Challenges and Solutions”, International Journal of Advanced Research in Computer Science and Applications, Vol.2, Issue 5, May 2014, ISSN:2321-872X Online 2321-8932 Print.
• Sivakumar Nadarajan and Dr.Balasubramanian Ramanujam., “Encountering Imbalance in Credit Card Fraud Detection with Metaheuristics” , Advances in Natural and Applied Sciences . Jordan, 10(8); Pages: 33-41,2016. ISS N: 1995-0772, June 2016.
• Sivakumar and Dr.R.Balasubramanian., “Enhanced Anomaly Detection in Imbalanced Credit Card Transactions using Hybrid PSO” , International Journal of Computer Applications, USA, Vol 135-No.10, Feb 2016, ISSN:0975-8887.
• Sivakumar Nadarajan and Balasubramanian Ramanujam., “Fast and Effective Credit Card Fraud Detection in Imbalanced Data using Parallel Hybrid PSO”, International Journal of Advanced Research in Science, Engineering and Technology, Vol. 3, Issue 9 , Sep 2016,ISSN:2350-0328

Other Achievements

• Microsoft Certified: Azure Data Scientist Associate in November 27, 2023.
• AWS Certified Educator

• Anantha Babu, M. John Basha, K. S. Arvind, and N. Sivakumar,” Analysis of Hate Tweets Using CBOW-based Optimization Word Embedding Methods Using Deep Neural Networks” Proceedings of International Conference on Computational Intelligence and Data Engineering, Lecture Notes on Data Engineering and Communications Technologies 163, https://doi.org/10.1007/978-981-99-0609-3_26(SCOPUS), 18 June 2023
• Sivakumar, Mariyappan, Prakash, P.G.O. (2022). Machine Learning-Based Algorithmic Approach for Enhanced Anomaly Detection in Financial Transactions. In: Karrupusamy, P., Balas, V.E., Shi, Y. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-16-6605-6_59(Scopus)
• K.Mariyappan, Dr.N.Sivakumar, A Research Study into Palm Print Based Biometric System, IEEE, 2023 International Conference on Computer Science and Emerging Technologies (CSET), DOI: 10.1109/CSET58993.2023.10346618. (Scopus)
• Sivakumar & Dr.R.Balasubramanian., “Hybrid Algorithmic Approach for Fraud Detection in Online Transactions”, International Journal Of Advanced Research In Information And Communication Engineering. ISSN 2321-8762, Volume 2, Issue 5, May 2014.