Avadhut Sardeshmukh
Avadhut Sardeshmukh
Tata Research Development and Design Center
Verified email at tcs.com - Homepage
Cited by
Cited by
Prescriptive information fusion
G Shroff, P Agarwal, K Singh, AH Kazmi, S Shah, A Sardeshmukh
17th International Conference on Information Fusion (FUSION), 1-8, 2014
A data science approach for analysis of multi-pass wire drawing
A Sardeshmukh, S Reddy, BP Gautham, A Joshi, J Panchal
ASME 2017 International Design Engineering Technical Conferences and …, 2017
Bayesian networks for inverse inference in manufacturing Bayesian networks
A Sardeshmukh, S Reddy, BP Gautham, A Joshi
2017 16th IEEE International conference on machine learning and applications …, 2017
Soft Monotonic Constraint Support Vector Regression.
S Shah, A Sardeshmukh, S Ahmed, S Reddy
COMAD, 64-73, 2016
Application of machine learning techniques for inverse prediction in manufacturing process chains
S Shah, S Reddy, A Sardeshmukh, BP Gautham, G Shroff, A Srinivasan
Proceedings of the 3rd World Congress on Integrated Computational Materials …, 2015
System and method for inverse inference for a manufacturing process chain
AM Sardeshmukh, SH Shah, SS Reddy, GP Basavarsu
US Patent App. 16/562,858, 2020
Model driven computational platform for integrated design of products, materials and manufacturing processes
DAS Prasenjit, RR Yeddula, SH Shah, SS Reddy, GP Basavarsu, ...
US Patent 10,579,745, 2020
Even cycle problem for directed graphs
A Sardeshmukh
Indian Institute of Technology, Bombay Mumbai, 0
Microstructure representation learning using Siamese networks
A Sardeshmukh, S Reddy, BP Gautham, P Bhattacharyya
MRS Communications 10 (4), 613-619, 2020
Bayesian Framework for Inverse Inference in Manufacturing Process Chains
A Sardeshmukh, S Reddy, BP Gautham
Integrating Materials and Manufacturing Innovation 8 (2), 95-106, 2019
On some classes of P systems
AM Sardeshmukh
CS691 Report: Membrane Computing
A Sardeshmukh
On the universality of variants of P systems
A Sardeshmukh
Indian Institute of Technology, Bombay Mumbai, 0
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