| Soft-sensor development for fed-batch bioreactors using support vector regression K Desai, Y Badhe, SS Tambe, BD Kulkarni Biochemical Engineering Journal 27 (3), 225-239, 2006 | 195 | 2006 |
| Estimation of gross calorific value of coals using artificial neural networks SU Patel, BJ Kumar, YP Badhe, BK Sharma, S Saha, S Biswas, ... Fuel 86 (3), 334-344, 2007 | 165 | 2007 |
| Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: study of benzene isopropylation on Hbeta catalyst S Nandi, Y Badhe, J Lonari, U Sridevi, BS Rao, SS Tambe, BD Kulkarni Chemical Engineering Journal 97 (2-3), 115-129, 2004 | 135 | 2004 |
| Optimization of fermentation media for exopolysaccharide production from Lactobacillus plantarum using artificial intelligence-based techniques KM Desai, SK Akolkar, YP Badhe, SS Tambe, SS Lele Process Biochemistry 41 (8), 1842-1848, 2006 | 112 | 2006 |
| Density measurements of coal samples by different probe gases and their interrelation S Saha, BK Sharma, S Kumar, G Sahu, YP Badhe, SS Tambe, ... Fuel 86 (10-11), 1594-1600, 2007 | 42 | 2007 |
| Classification of Indian power coals using K-means clustering and Self Organizing Map neural network YP Pandit, YP Badhe, BK Sharma, SS Tambe, BD Kulkarni Fuel 90 (1), 339-347, 2011 | 40 | 2011 |
| Detergent formulation by artificial neural network SL Pandharipande, RS Agrawal, BB Gogte, YP Badhe Chemical engineering world 38 (5), 78-80, 2003 | 25 | 2003 |
| Study of a laboratory-scale froth flotation process using artificial neural networks VK Kalyani, Pallavika, S Chaudhuri, T Gouri Charan, DD Haldar, ... Mineral Processing and Extractive Metallurgy Review 29 (2), 130-142, 2007 | 22 | 2007 |
| Prediction of mass transfer coefficient in down flow jet loop reactor using artificial neural network. SL Pandharipande, YP Badhe Indian Chemical Engineer 45 (4), 256-258, 2003 | 22 | 2003 |
| Artificial neural network: leak detection in pipelines SL PANDHANPAND, YP BADHE Chemical engineering world 38 (6), 70-72, 2003 | 22 | 2003 |
| Artificial neural network: leak detection in pipelines SL PANDHANPAND, YP BADHE Chemical engineering world 38 (6), 70-72, 2003 | 22 | 2003 |
| Artificial neural networks for Gurney-Lurie and Heisler charts SL Pandharipande, YP Badhe JOURNAL-INSTITUTION OF ENGINEERS INDIA PART CH CHEMICAL ENGINEERING DIVISION …, 2004 | 20 | 2004 |
| Unsteady state heat conduction in semi-infinite solids artificial neural networks SL Pandharipande, YP BADHE Chemical engineering world 38 (8), 82-84, 2003 | 19 | 2003 |
| Gas sorption and transport in polyarylates: effect of substituent symmetry and polarity PB Karadkar, UK Kharul, YS Bhole, YP Badhe, SS Tambe, BD Kulkarni Journal of Membrane Science 303 (1-2), 244-251, 2007 | 15 | 2007 |
| Self-organizing maps: A tool to ascertain taxonomic relatedness based on features derived from 16S rDNA sequence DV Raje, HJ Purohit, YP Badhe, SS Tambe, BD Kulkarni Journal of biosciences 35, 617-627, 2010 | 9 | 2010 |
| elite-ANN© SL Pandharipande, YP Badhe ROC No SW-1471, 2004 | 9 | 2004 |
| Improve polyethylene process control and product quality-Using artificial intelligence-based sensors can improve costs YP Badhe, J Lonari, SS Tambe, BD Kulkarni, NK Valecha, SV Deshmukh, ... Hydrocarbon Processing 86 (3), 53-53, 2007 | 5 | 2007 |
| Biodegradable iron chelate for H2S abatement: Modeling and optimization using artificial intelligence strategies A Hamid, AS Deshpande, YP Badhe, PP Barve, SS Tambe, BD Kulkarni Chemical Engineering Research and Design 92 (6), 1119-1132, 2014 | 2 | 2014 |
| Multimodel scheme for prediction of monthly rainfall over India JR Kulkarni, SG Kulkarni, B Yogesh, ST Sanjeev, BD Kulkarni, GB Pant Res Rep. RR-101, Indian Institute of Tropical Meteorology, Pune, India, 2003 | 1 | 2003 |
| Process modeling and optimization using artificial intelligence and machine learning formalisms YP Badhe CSIR-National Chemical Laboratory, Pune, 2008 | | 2008 |
