S. Vairachilai, M. K. Kavithadevi, and M. Raja, “Analysis of statistical and structural properties of complex networks with random networks,” Applied Mathematics & Information Sciences, vol. 11, no. 1, pp. 137–146, 2017.

S. Periyanayagi, S. P. Raja, and S. Vairachilai, “Multipoint communication using a fog-robotic coordinated nodal conveying system for wireless networks,” Journal of Network and Computer Applications, vol. 221, 2024, Art. no. 103781. DOI: 10.1016/j.jnca.2023.103781.

S. Vairachilai, S. Periyanayagi, and S. Raja, “PIPR machine learning model: Obesity impact analysis,” The Open Biomedical Engineering Journal, May 22, 2024. DOI: 10.2174/0118741207289421240430115207.

S. Vairachilai, D. Anuhya, A. Tirkey, and S. P. Raja, “SLB - SMOTE logistic blending hybrid machine learning model for chronic polycystic ovary syndrome prediction with correlated feature selection,” Informatics for Health and Social Care, vol. 49, no. 3–4, pp. 190–211, 2024. DOI: 10.1080/17538157.2024.2405868.

S. Vairachilai, Shreyash Jaiswal, Thota Chandan and S. Periyanayagi, S.P. Raja Efficient clinical decision-making in nephrology: Predictive analytics for chronic kidney disease management ,International Journal of Medical Engineering and Informatics (IJMEI),Inder Science Publishers, 2025. DOI: 10.1504/IJMEI.2025.10068832

S. Vairachilai, Thota Chandan, S. Periyanayagi, S.P. Raja, People Food Predictor Model Using Machine Learning Technique, Int. J. of Computational Biology and Drug Design, Inder Science ,2025.