Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning-Reference-Cited by-同舟云学术

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Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning

Published:2020-09 Issue: Volume:252 Page:123286
ISSN:0254-0584
Container-title:Materials Chemistry and Physics
language:en
Short-container-title:Materials Chemistry and Physics

Author:

Gupta Subir,Banerjee Abhijit,Sarkar Jit,Kundu Malay,Sinha Sudip Kumar,Bandyopadhyay N.R.,Ganguly Subhas

Funder

National Institute of Technology Raipur, India

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Materials Science

Reference45 articles.

1. Automatic grain size determination in microstructures using image processing;Peregrina-Barreto;Measurement,2013

2. Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique;Dutta;Precis. Eng.,2012

3. New training strategies for neural networks with application to quaternary Al-Mg-Sc-Cr alloy design problems;Ganguly;Appl. Soft Comput. J.,2016

4. Building data-driven models with microstructural images: generalization and interpretability;Ling;Mater. Discov.,2017

5. Image driven machine learning methods for microstructure recognition;Chowdhury;Comput. Mater. Sci.,2016

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