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Subhas Ganguly
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Automatic recognition of SEM microstructure and phases of steel using LBP and random decision forest operator
S Gupta, J Sarkar, M Kundu, NR Bandyopadhyay, S Ganguly
Measurement 151, 107224, 2020
682020
Designing high strength multi-phase steel for improved strength–ductility balance using neural networks and multi-objective genetic algorithms
S Datta, F Pettersson, S Ganguly, H Saxén, N Chakraborti
ISIJ international 47 (8), 1195-1203, 2007
612007
Genetic algorithms in optimization of strength and ductility of low-carbon steels
S Ganguly, S Datta, N Chakraborti
Materials and Manufacturing Processes 22 (5), 650-658, 2007
582007
Evolution of glass forming ability indicator by genetic programming
MK Tripathi, S Ganguly, P Dey, PP Chattopadhyay
Computational Materials Science 118, 56-65, 2016
482016
Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function
P Das, S Mukherjee, S Ganguly, BK Bhattacharyay, S Datta
Computational Materials Science 45 (1), 104-110, 2009
452009
Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels
S Ganguly, S Datta, N Chakraborti
Computational Materials Science 45 (1), 158-166, 2009
422009
Multivariate analysis and classification of bulk metallic glasses using principal component analysis
MK Tripathi, PP Chattopadhyay, S Ganguly
Computational Materials Science 107, 79-87, 2015
402015
Simulating time temperature transformation diagram of steel using artificial neural network
M Kundu, S Ganguly, S Datta, PP Chattopadhyay
Materials and Manufacturing Processes 24 (2), 169-173, 2009
402009
Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks
S Datta, F Pettersson, S Ganguly, H Saxen, N Chakraborti
Materials and Manufacturing Processes 23 (2), 130-137, 2008
402008
Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning
S Gupta, A Banerjee, J Sarkar, M Kundu, SK Sinha, NR Bandyopadhyay, ...
Materials Chemistry and Physics 252, 123286, 2020
362020
Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms
AK Nandi, K Deb, S Ganguly, S Datta
Applied Soft Computing 12 (1), 28-39, 2012
332012
Grain boundary detection and phase segmentation of SEM ferrite–pearlite microstructure using SLIC and skeletonization
S Gupta, J Sarkar, A Banerjee, NR Bandyopadhyay, S Ganguly
Journal of The Institution of Engineers (India): Series D 100, 203-210, 2019
242019
Influence of frictional heat spread pattern on the formation of intermetallic layers at the dissimilar FSW joint interface between AA 5083 and HSLA steel
M Sahu, A Paul, S Ganguly
Journal of Manufacturing Processes 83, 555-570, 2022
232022
Development of a blast-induced vibration prediction model using an artificial neural network
A Das, S Sinha, S Ganguly
Journal of the Southern African Institute of Mining and Metallurgy 119 (2 …, 2019
232019
A machine learning model for multi-class classification of quenched and partitioned steel microstructure type by the k-nearest neighbor algorithm
AK Gupta, S Chakroborty, SK Ghosh, S Ganguly
Computational Materials Science 228, 112321, 2023
222023
A predictable glass forming ability expression by statistical learning and evolutionary intelligence
MK Tripathi, PP Chattopadhyay, S Ganguly
Intermetallics 90, 9-15, 2017
222017
New training strategies for neural networks with application to quaternary Al–Mg–Sc–Cr alloy design problems
S Ganguly, A Patra, PP Chattopadhyay, S Datta
Applied soft computing 46, 260-266, 2016
212016
Optimization of process parameters of friction stir welded joints of marine grade AA 5083
M Sahu, A Paul, S Ganguly
Materials Today: Proceedings 44, 2957-2962, 2021
202021
Effect of oxygen vacancies on the dielectricity of Ga doped equimolar BiMnO3–BaTiO3 characterized by XPS analysis
KK Rahangdale, S Ganguly
Physica B: Condensed Matter, 413570, 2021
192021
Artificial neural network (ANN)-based model for in situ prediction of porosity of nanostructured porous silicon
M Ray, S Ganguly, M Das, S Datta, NR Bandyopadhyay, SM Hossain
Materials and Manufacturing Processes 24 (1), 83-87, 2008
182008
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