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Subhas Ganguly
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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
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
572007
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
532020
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
442009
Evolution of glass forming ability indicator by genetic programming
MK Tripathi, S Ganguly, P Dey, PP Chattopadhyay
Computational Materials Science 118, 56-65, 2016
422016
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
412009
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
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
372009
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
362015
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
302020
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
302012
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 predictable glass forming ability expression by statistical learning and evolutionary intelligence
MK Tripathi, PP Chattopadhyay, S Ganguly
Intermetallics 90, 9-15, 2017
222017
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
192021
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
182019
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
182016
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
Designing the multiphase microstructure of steel for optimal TRIP effect: A multiobjective genetic algorithm based approach
S Ganguly, S Datta, PP Chattopadhyay, N Chakraborti
Materials and Manufacturing Processes 24 (1), 31-37, 2008
152008
Design of the directly air-cooled pearlite-free multiphase steel from CCT diagrams developed using ANN and dilatometric methods
SK Ghosh, PP Chattopadhyay, A Haldar, S Ganguly, S Datta
ISIJ international 48 (5), 649-657, 2008
152008
Informatics-based uncertainty quantification in the design of inorganic scintillators
S Ganguly, CS Kong, SR Broderick, K Rajan
Materials and Manufacturing Processes 28 (7), 726-732, 2013
132013
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