| Prediction of higher heating value of solid biomass fuels using artificial intelligence formalisms SB Ghugare, S Tiwary, V Elangovan, SS Tambe Bioenergy Research 7, 681-692, 2014 | 110 | 2014 |
| Genetic programming based high performing correlations for prediction of higher heating value of coals of different ranks and from diverse geographies SB Ghugare, SS Tambe Journal of the Energy Institute 90 (3), 476-484, 2017 | 42 | 2017 |
| 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, 2083 …, 2017 | 33 | 2017 |
| 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, 323-341, 2020 | 15 | 2020 |
| Development of genetic programming based softsensor model for styrene polymerization process and its application in model based control SB Ghugare, SS Tambe 2016 Indian Control Conference (ICC), 238-244, 2016 | 3 | 2016 |
| Multi-objective optimization of high-shear wet granulation process for better granule properties and fluidized bed drying characteristics VV Kenekar, SB Ghugare, V Patil-Shinde Powder Technology 420, 118373, 2023 | 1 | 2023 |
| Design and development of computational intelligence based methodologies for chemical engineering and technology application SB Ghugare CSIR-National Chemical Laboratory, Pune, 2017 | | 2017 |
| Optimization of fixed bed defluoridation process using neural networks SJ Attar, AK Dey, SB Ghugare Chemical engineering world 42 (9), 2007 | | 2007 |
Shishir TiwaryIndian Institute of Technology (ISM) DhanbadVerified email at ce.iitism.ac.in
