| An objective analysis of support vector machine based classification for remote sensing T Oommen, D Misra, NKC Twarakavi, A Prakash, B Sahoo, ... Mathematical geosciences 40, 409-424, 2008 | 271 | 2008 |
| Corrosion mechanism and model of pulsed DC microarc oxidation treated AZ31 alloy in simulated body fluid Y Gu, C Chen, S Bandopadhyay, C Ning, Y Zhang, Y Guo Applied Surface Science 258 (16), 6116-6126, 2012 | 156 | 2012 |
| Effect of oxidation time on the corrosion behavior of micro-arc oxidation produced AZ31 magnesium alloys in simulated body fluid Y Gu, S Bandopadhyay, C Chen, Y Guo, C Ning Journal of Alloys and Compounds 543, 109-117, 2012 | 141 | 2012 |
| Long-term corrosion inhibition mechanism of microarc oxidation coated AZ31 Mg alloys for biomedical applications Y Gu, S Bandopadhyay, C Chen, C Ning, Y Guo Materials & Design (1980-2015) 46, 66-75, 2013 | 102 | 2013 |
| Reliability estimation using a genetic algorithm-based artificial neural network: An application to a load-haul-dump machine S Chatterjee, S Bandopadhyay Expert Systems with Applications 39 (12), 10943-10951, 2012 | 84 | 2012 |
| Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model S Chatterjee, S Bandopadhyay, D Machuca Mathematical Geosciences 42, 309-326, 2010 | 82 | 2010 |
| Machine learning algorithms and their application to ore reserve estimation of sparse and imprecise data S Dutta, S Bandopadhyay, R Ganguli, D Misra Journal of Intelligent Learning Systems and Applications 2 (02), 86-96, 2010 | 69 | 2010 |
| Characterisation of the gene encoding type II DNA topoisomerase from Leishmania donovani: a key molecular target in antileishmanial therapy A Das, A Dasgupta, S Sharma, M Ghosh, T Sengupta, S Bandopadhyay, ... Nucleic acids research 29 (9), 1844-1851, 2001 | 68 | 2001 |
| Data segmentation and genetic algorithms for sparse data division in Nome placer gold grade estimation using neural network and geostatistics B Samanta, S Bandopadhyay, R Ganguli Exploration and mining geology 11 (1-4), 69-76, 2002 | 54 | 2002 |
| Prediction of arsenic in bedrock derived stream sediments at a gold mine site under conditions of sparse data NKC Twarakavi, D Misra, S Bandopadhyay Natural Resources Research 15, 15-26, 2006 | 50 | 2006 |
| Construction of a radial basis function network using an evolutionary algorithm for grade estimation in a placer gold deposit B Samanta, S Bandopadhyay Computers & Geosciences 35 (8), 1592-1602, 2009 | 48 | 2009 |
| Ensemble support vector machine algorithm for reliability estimation of a mining machine S Chatterjee, A Dash, S Bandopadhyay Quality and Reliability Engineering International 31 (8), 1503-1516, 2015 | 42 | 2015 |
| Comparative evaluation of neural network learning algorithms for ore grade estimation B Samanta, S Bandopadhyay, R Ganguli Mathematical Geology 38, 175-197, 2006 | 40 | 2006 |
| Comparing the predictive performance of neural networks with ordinary kriging in a bauxite deposit B Samanta, R Ganguli, S Bandopadhyay Mining Technology 114 (3), 129-139, 2005 | 39 | 2005 |
| Evaluation of elastic properties of reduced NiO-8YSZ anode-supported bi-layer SOFC structures at elevated temperatures in ambient air and reducing environments S Biswas, T Nithyanantham, NT Saraswathi, S Bandopadhyay Journal of materials science 44, 778-785, 2009 | 35 | 2009 |
| A hybrid ensemble model of kriging and neural network for ore grade estimation S Dutta, D Misra, R Ganguli, B Samanta, S Bandopadhyay International Journal of Surface Mining, Reclamation and Environment 20 (01 …, 2006 | 30 | 2006 |
| Sparse data division using data segmentation and Kohonen network for neural network and geostatistical ore grade modeling in Nome offshore placer deposit B Samanta, S Bandopadhyay, R Ganguli, S Dutta Natural resources research 13, 189-200, 2004 | 29 | 2004 |
| Expert systems as decision aid in surface mine equipment selection S Bandopadhyay, P Venkatasubramanian International Journal of Surface Mining, Reclamation and Environment 1 (2 …, 1987 | 26 | 1987 |
| Maximizing REE enrichment by froth flotation of Alaskan coal using Box-Behnken design T Gupta, T Ghosh, G Akdogan, S Bandopadhyay Mining, Metallurgy & Exploration 36, 571-578, 2019 | 24 | 2019 |
| Goodnews Bay Platinum resource estimation using least squares support vector regression with selection of input space dimension and hyperparameters S Chatterjee, S Bandopadhyay Natural Resources Research 20, 117-129, 2011 | 24 | 2011 |
