TY  - JOUR

T1  - Classification of defects in additively manufactured nickel alloys using supervised machine learning

JO  - Materials Science and Technology

UR  - http://dx.doi.org/10.1080/02670836.2023.2207337

PY  - 2023/05/07

AU  - Aziz U

AU  - Bradshaw A

AU  - Lim J

AU  - Thomas M

ED  - 

DO  - DOI: 10.1080/02670836.2023.2207337

PB  - Informa UK Limited

SP  - 1

EP  - 5

Y2  - 2024/12/25

ER  -