| Prediction of higher heating value of solid biomass fuels using artificial intelligence formalisms. SB Ghugare, S Tiwary, V Elangovan, SS Tambe Bioenergy Res 7 (2), 681-692, 2014 | 110 | 2014 |
| Computational intelligence based models for prediction of elemental composition of solid biomass fuels from proximate analysis SB Ghugare, S Tiwary, SS Tambe International Journal of System Assurance Engineering and Management 8 (4 …, 2017 | 33 | 2017 |
| Prediction of coal ash fusion temperatures using computational intelligence based models SS Tambe, M Naniwadekar, S Tiwary, A Mukherjee, TB Das International Journal of Coal Science & Technology 5 (4), 486-507, 2018 | 24 | 2018 |
| Theoretical approaches in hot CO2 capture using modified CaO-based sorbents S Tiwary, SK Bhaumik Journal of CO2 Utilization 57, 101875, 2022 | 15 | 2022 |
| Co-gasification of high ash coal–biomass blends in a fluidized bed Gasifier: experimental study and computational intelligence-based modeling S Tiwary, SB Ghugare, PD Chavan, S Saha, S Datta, G Sahu, SS Tambe Waste and Biomass Valorization 11 (1), 323-341, 2020 | 15 | 2020 |
| Prediction of Rate Constants of Photocatalytic Degradation of Pharmaceutical Pollutants by Artificial Intelligence based Genetic Programming Formalism S Tiwary, M Naniwadekar, R Sonolikar, S Bapat, A Yerudkar, SP Kamble, ... Current Environmental Engineering 5 (1), 58-67, 2018 | 3 | 2018 |
| Prediction of cetane number of biofuels using artificial intelligence based models S Tiwary, M Naniwadekar, SS Tambe NexGen Technologies for Mining and Fuel Industries 1 (978-93-85926-40-2 …, 2017 | | 2017 |
