American Psychological Association 6th edition

Balcıoğlu, Y. S., Sezen, B., Çerasi, C. C., & Huang, S. H. (2023). Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network. Electronics (2079-9292), 12(4), 825-840. https://doi.org/10.3390/electronics12040825

ISO-690 (author-date, English)

BALCIOĞLU, Yavuz Selim, SEZEN, Bülent, ÇERASI, Ceren Cubukcu und HUANG, Shao Ho, 2023. Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network. Electronics (2079-9292). 15 Februar 2023. Vol. 12, no. 4, p. 825-840. DOI 10.3390/electronics12040825.

Modern Language Association 9th edition

Balcıoğlu, Y. S., B. Sezen, C. C. Çerasi, und S. H. Huang. „Machine Design Automation Model for Metal Production Defect Recognition With Deep Graph Convolutional Neural Network.“. Electronics (2079-9292), Bd. 12, Nr. 4, Februar 2023, S. 825-40, https://doi.org/10.3390/electronics12040825.

Mohr Siebeck - Recht (Deutsch - Österreich)

Balcıoğlu, Yavuz Selim/Sezen, Bülent/Çerasi, Ceren Cubukcu/Huang, Shao Ho: Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network., Electronics (2079-9292) 2023, 825-840.

Emerald - Harvard

Balcıoğlu, Y.S., Sezen, B., Çerasi, C.C. und Huang, S.H. (2023), „Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network.“, Electronics (2079-9292), Vol. 12 No. 4, S. 825-840.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.