- Application of machine learning algorithms for predicting the engine characteristics of a wheat germ oil–Hydrogen fuelled dual fuel engine, 2023
- Efficacy of machine learning algorithms in estimating emissions in a dual fuel compression ignition engine operating on hydrogen and diesel, 2023
- Application of Taguchi design in optimization of performance and emissions characteristics of n-butanol/diesel/biogas under dual fuel mode, 2023
- Development of artificial neural network and response surface methodology model to optimize the engine parameters of rubber seed oil – Hydrogen on PCCI operation, 2023
- Social Network Routing with Caching in Delay Tolerant Wireless Sensor Networks, 2018
- Predicting the different engine parameters of a rubber seed oil-ethanol dual fuel engine using artificial neural networks, 2018