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1. RK Arya, J Sharma, R Shrivastava, D Thapliyal, GD Verros, �Modeling of Surfactant-Enhanced Drying of Poly(styrene)-p-xylene Polymeric Coatings Using Machine Learning Technique�, Coatings, pp. 1529, 2021. (Publisher: MDPI)
2. R Shrivastava, "Comparative Study of Boosting and Bagging based methods for fault detection in a chemical process," IEEE International Conference on Artificial Intelligence and Smart Systems (ICAIS), pp. 674-679, 2021. (Publisher: IEEE)
3. R Shrivastava, K N Gupta, N N Dutta, " Performance Assessment of Ensemble Decision Tree-based Fault Detection System in a Chemical Process," International Journal of Applied Engineering Research, 13(9), pp. 7190-7196, 2018.
4. R Shrivastava, H Mahalingam, N N Dutta, "Application and Evaluation of Random Forest Classifier Technique for Fault Detection in Bioreactor Operation," Chemical Engineering Communications, 204, pp. 591-598, 2017. (Publisher: Taylor & Francis)
5. R Shrivastava, H Mahalingam, N N Dutta, " Optimum Parameters for Fault Detection in Bioreactor using Support Vector Machine and Neural Networks," International Journal for Research for Applied Science and Engineering Technology, 5, pp. 354-364, 2017.
6. K Rajurkar, N Kulkarni, V Rane, R Shrivastava, " Selective Oxidation of Toluene to Benzaldehyde using Cu/Sn/Br Catalyst System," International Journal of Chemical Sciences, 9, pp. 545-552, 2011.