Tytuł artykułu

Comparative Study on Different CNN Architectures Developed on Microstructural Classification in Al-Si Alloys

Tytuł czasopisma

Archives of Metallurgy and Materials

Rocznik

2024

Wolumin

vol. 69

Numer

No 2

Afiliacje

Kalkan, M.F. : Gaziantep University, Faculty of Engineering, Department of Mechanical Engineering, 27310, Sehitkamil, Gaziantep, Turkiye ; Aladag, M. : Bialystok University of Technology, Faculty of Mechanical Engineering, Wiejska 45C, 15-351 Bialystok, Poland ; Kurzydlowski, K.J. : Bialystok University of Technology, Faculty of Mechanical Engineering, Wiejska 45C, 15-351 Bialystok, Poland ; Yilmaz, N.F. : Gaziantep University, Faculty of Engineering, Department of Mechanical Engineering, 27310, Sehitkamil, Gaziantep, Turkiye; Hasan Kalyoncu University, Board of Trustees, 27410 Gaziantep, Turkey ; Yavuz, A. : Gaziantep University, Faculty of Engineering, Department of Metallurgical And Materials Engineering, 27310, Sehitkamil, Gaziantep, Turkiye

Autorzy

Kalkan, M.F. ; Aladag, M. ; Kurzydlowski, K.J. ; Yilmaz, N.F. ; Yavuz, A.

Słowa kluczowe

Artificial intelligence ; Microstructural characterization ; Al-Si alloy ; Convolutional Neural Network (CNN) ; Material classification

Wydział PAN

Nauki Techniczne

Zakres

563-570

Wydawca

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences

Data

21.06.2024

Typ

Article

Identyfikator

DOI: 10.24425/amm.2024.149784 ; e-ISSN 2300-1909