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1. Min Cai, Huan-Shui Zhang and Wei Wang, “A power control algorithm based on SIR with multiplicative stochastic noise,” Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), Shanghai, China, 2004, pp. 2743-2746 vol. 5, doi: 10.1109/ICMLC.2004.1378324.

2. M. Muselli, A. Bertoni, M. Frasca, A. Beghini, F. Ruffino and G. Valentini, “A Mathematical Model for the Validation of Gene Selection Methods,” in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 5, pp. 1385-1392, Sept.-Oct. 2011, doi: 10.1109/TCBB.2010.83.

3. Dutta, Nabanita & Subramaniam, Umashankar & Sanjeevikumar, P.. (2018). Mathematical models of classification algorithm of Machine learning. 10.5339/qproc.2019.imat3e2018.3.

4. KNN Model-Based Approach in Classification, Gongde Guo1, Hui Wang 1, David Bell 2, Yaxin Bi 2, and Kieran Greer 1, School of Computing and Mathematics, University of Ulster, Newtownabbey, BT37 0QB, Northern Ireland, UK.

5. S. Ji, L. T. Watson and L. Carin, “Semi supervised Learning of Hidden Markov Models via a Homotopy Method,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 275-287, Feb. 2009, doi: 10.1109/TPAMI.2008.71.

6. Pavithra, M., Rajmohan, R., Kumar, T. A., & Ramya, R. (2021). Prediction and Classification of Breast Cancer Using Discriminative Learning Models and Techniques. Machine Vision Inspection Systems, Volume 2: Machine Learning-Based Approaches, 241-262.

7. SanghamitraMohanty, HimadriNandini Das Bebartta, “Performance Comparison of SVM and K-NN for Oriya Character Recognition”, (IJACSA) International Journal of Advanced Computer Science and Applications, Special Issue on Image Processing and Analysis, 2011, pp. 112-115

8. D. Bouchoffra and F. Ykhlef, “Mathematical models for machine learning and pattern recognition,” 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA), Algiers, 2013, pp. 27-30, doi: 10.1109/WoSSPA.2013.6602331.

9. R. Veena, S. Fauziah, S. Mathew, I. Petra and J. Hazra, “Data driven models for understanding the wind farm wake propagation pattern,” 2016 International Conference on Cogeneration, Small Power Plants and District Energy (ICUE), Bangkok, 2016, pp. 1-5, doi: 10.1109/COGEN.2016.7728969.

10. H. J. Vishnukumar, B. Butting, C. Müller and E. Sax, “Machine learning and deep neural network — Artificial intelligence core for lab and real-world test and validation for ADAS and autonomous vehicles: AI for efficient and quality test and validation,” 2017 Intelligent Systems Conference (IntelliSys), London, 2017, pp. 714-721, doi: 10.1109/IntelliSys.2017.8324372.

11. A. Salaün, Y. Petetin and F. Desbouvries, “Comparing the Modeling Powers of RNN and HMM,” 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1496-1499, doi: 10.1109/ICMLA.2019.00246.

12. S. A. Selvi, T. A. kumar, R. S. Rajesh and M. A. T. Ajisha, “An Efficient Communication Scheme for Wi-Li-Fi Network Framework,” 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2019, pp. 697-701, doi: 10.1109/I-S MAC47947.2019.9032650.

13. Mathematical models and deep learning for predicting the number of individuals reported to be infected with SARS-CoV-2‵ A. S. Fokas, N. Dikaios and G. A. Kastis.

14. M. A. Bahloul, A. Chahid and T. -M. Laleg-Kirati, “Fractional-Order SEIQRDP Model for Simulating the Dynamics of COVID-19 Epidemic,” in IEEE Open Journal of Engineering in Medicine and Biology, vol. 1, pp. 249-256, 2020, doi: 10.1109/OJEMB.2020.3019758.

15. Y. Yang, W. Yu and D. Chen, “Prediction of COVID-19 spread via LSTM and the deterministic SEIR model,” 2020 39th Chinese Control Conference (CCC), Shenyang, China, 2020, pp. 782-785, doi: 10.23919/CCC50068.2020.9189012.

1 ^*Corresponding author: akshathay@presidencyuniversity.in

2 ^† Corresponding author: pravinthraja@gmail.com