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 | 62 | 2020 |
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 | 61 | 2007 |
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 | 57 | 2007 |
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 | 44 | 2009 |
Evolution of glass forming ability indicator by genetic programming MK Tripathi, S Ganguly, P Dey, PP Chattopadhyay Computational Materials Science 118, 56-65, 2016 | 42 | 2016 |
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 | 42 | 2009 |
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 | 40 | 2009 |
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 | 40 | 2008 |
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 | 39 | 2015 |
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 | 32 | 2020 |
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 | 32 | 2012 |
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 | 24 | 2019 |
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 | 23 | 2019 |
A predictable glass forming ability expression by statistical learning and evolutionary intelligence MK Tripathi, PP Chattopadhyay, S Ganguly Intermetallics 90, 9-15, 2017 | 22 | 2017 |
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 | 20 | 2021 |
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 | 19 | 2022 |
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 | 19 | 2016 |
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 | 18 | 2008 |
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 | 16 | 2021 |
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 | 15 | 2008 |