KJMM
toggle navigation
KJMM
Latest articles
About KJMM
Aims and Scope
About the Journal
Editorial Board
Open Access
All issues
For Authors & Reviewers
Instruction for Authors
Ethics
Contact us
KIM
Contact
KJMM
Korean Journal of Metals and Materials
About KJMM
Aims and Scope
About the Journal
Editorial Board
Open Access
Latest articles
All issues
For Authors &
Reviewers
Instruction for Authors
Ethics
Contact us
The Journal of
the Korean Journal of Metals and Materials
The Journal of
the Korean Journal of Metals and Materials
Open Access Journal
Monthly
pISSN : 1738-8228
eISSN : 2288-8241
All issues
Submit Your Article
KJMM 2024, 2025
Field-Specific Paper List
Editorial Office
Tel.
+82-2-557-1071
Fax.
+82-2-557-1080
E-mail.
metal@kim.or.kr
Home
All Issues
2023-05
(Vol.61, No.5)
10.3365/KJMM.2023.61.5.379
Journal XML
XML
PDF
INFO
REF
REFERENCES
1
Saunders R., Achuthan A., Iliopoulos A., Michopoulos J., Bagchi A., Influence of Grain Size and Shape on Mechanical Properties of Metal Am Materials,144, 1751 (2018)
2
Morris J. W., https://doi.org/10.2172/861397, The Influence of Grain Size on the Mechanical Properties of Steel, (2001)
3
Yuan X., Chen L., Zhao Y., Di H., Zhu F., Procedia Eng,81, 143 (2014)
4
ASTM E112-13, Standard Test Methods for Determining Average Grain Size, https://www.astm.org/e0112-13r21.html https://www.astm.org/e0112-13r21.html, (2022)
5
Bostanabad R., Zhang Y., Li X., Kearney T., Brinson L. C., Apley D. W., Liu W. K., Chen W., Prog. Mater. Sci,95, 1 (2018)
6
Chollet F., Deep Learning with Python,Manning Publications Co, Shelter Island (2018)
7
Gola J., Britz D., Staudt T., Winter M., Schneider A. S., Ludovici M., Mücklich F., Comput. Mater. Sci,148, 324 (2018)
8
Jeong S.-J., Hwang I.-K., Cho I.-S., Kim H.-S., Korean J. Met. Mater,57, 184 (2019)
9
Kondo R., Yamakawa S., Masuoka Y., Tajima S., Asahi R., Acta Mater,141, 29 (2017)
10
Wan W., Li D., Wang H., Zhao L., Shen X., Sun D., Chen J., Xiao C., Crystals,11, 1060 (2021)
11
Nikolić F., Štajduhar I., Čanađija M., Metals,11, 756 (2021)
12
Lee H.-J., Hwang I.-K., Jeong S.-J., Cho I.-S., Kim H.-S., Korean J. Met. Mater,59, 430 (2021)
13
Baggs G. S., Guerrier P., Loeb A., Jones J. C., https://doi.org/10.48550/ARXIV.2005.09634, Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN, (2020)
14
Lee J.-C., Hsu H.-H., Liu S.-C., Chen C.-H., Huang H.-C., Metals,11, 1547 (2021)
15
Berus L., Skakun P., Rajnovic D., Janjatovic P., Sidjanin L., Ficko M., Metals,10, 1381 (2020)
16
Dengiz O., Smith A. E., Nettleship I., Comput Ind,56, 854 (2005)
17
Jung J.-H., Lee S. J., Kim H. S., Materials,15, 6954 (2022)
18
Kim S. G., Kim D. I., Kim W. T., Park Y. B., Phys. Rev. E,74, 061605 (2006)
19
Kamachali R. Darvishi, Steinbach I., Acta Mater,60, 2719 (2012)
20
Kim H.-S., Comput. Mater. Sci,50, 600 (2010)
21
LeCun Y., Huang Fu Jie, Bottou L., Learning methods for generic object recognition with invariance to pose and lighting,97-104, CVPR 2004, IEEE (2004)
22
Wasserman P. D., Advanced methods in neural computing,Van Nostrand Reinhold (1993)
23
Saito Goki, Deep Learning from Scratch,O’Reilly Japan (2016)
24
D.P. Kingma, J. Ba, Adam: A Method for Stochastic Optimization, ArXiv:1412.6980 [Cs]. (2017). http://arxiv.org/abs/1412.6980 (accessed November 30, 2020),
25
Python Software Foundation, Python.Org. (n.d.). https://www.python.org/psf/, (2021)
26
Keras: the Python deep learning API, (n.d.). https://keras.io/, (2022)
27
Liu Y., Cheng M. M., Hu X., Bian J. W., Zhang L., Bai X., Tang J., TPAMI / PAMI,41, 1939 (2019)
28
Zhao J., Wang H., Yu D., Int. J. Circ. Theor. Appl,31, 119 (2003)
뒤로가기