Sukumar Bandopadhyay
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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 (4), 409-424, 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
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
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 46, 66-75, 2013
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
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
Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model
S Chatterjee, S Bandopadhyay, D Machuca
Mathematical Geosciences 42 (3), 309-326, 2010
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
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
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 (1), 15-26, 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
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
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, 2010
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 (3), 778-785, 2009
Comparative evaluation of neural network learning algorithms for ore grade estimation
B Samanta, S Bandopadhyay, R Ganguli
Mathematical Geology 38 (2), 175-197, 2006
Partial ranking of primary stripping equipment in surface mine planning
S Bandopadhyay
International Journal of Surface Mining, Reclamation and Environment 1 (1 …, 1987
Selection of post-mining uses of land via fuzzy algorithm
S Bandopadhyay, A Chattopadhyay
Proceedings of the 19th international symposium on the application of …, 1986
High-temperature mechanical properties of reduced NiO–8YSZ anode-supported bi-layer SOFC structures in ambient air and reducing environments
S Biswas, T Nithyanantham, SN Thangavel, S Bandopadhyay
Ceramics International 39 (3), 3103-3111, 2013
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
Room and elevated temperature strength of perovskite membrane tubes
N Nagendra, S Bandopadhyay
Journal of the European Ceramic Society 23 (9), 1361-1368, 2003
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