Estimation of Chemical Composition of Al-Si Cast Alloys Using Image Recognition-Reference-Cited by-同舟云学术

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Estimation of Chemical Composition of Al-Si Cast Alloys Using Image Recognition

Published:2019-03-05 Issue:3 Volume:57 Page:184-192
ISSN:1738-8228
Container-title:Korean Journal of Metals and Materials
language:en
Short-container-title:Korean J. Met. Mater.

Author:

Jeong Sang-Jun,Hwang In-Kyu,Cho In-Sung,Kim Hee-Soo

Funder

Chosun University

Publisher

The Korean Institute of Metals and Materials

Subject

Metals and Alloys,Surfaces, Coatings and Films,Modelling and Simulation,Electronic, Optical and Magnetic Materials

Link

http://kjmm.org/upload/pdf/kjmm-2019-57-3-184.pdf

Reference18 articles.

1. Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studies

2. A Primer on Neural Network Models for Natural Language Processing

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1. Machine Learning-Based Prediction of Grain Size from Colored Microstructure;Korean Journal of Metals and Materials;2023-05-05

2. Estimation of Average Grain Size from Microstructure Image Using a Convolutional Neural Network;Materials;2022-10-07

3. Generating the Microstructure of Al-Si Cast Alloys Using Machine Learning;Korean Journal of Metals and Materials;2021-11-05

4. Evaluation of Cooling Performance of an Additive Manufactured Gravity Die Casting Mold with Conformal Cooling Channel;Korean Journal of Metals and Materials;2021-09-05

5. Mid-Layer Visualization in Convolutional Neural Network for Microstructural Images of Cast Irons;Korean Journal of Metals and Materials;2021-06-05

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