American Psychological Association 6th edition

Basak, S., P. C., S., Maity, A., & Paul, K. C. (2025). Machine learning approach to predict the dot gain of flexographic prints. Acta Graphica, 33(1), 34-43. https://doi.org/10.25027/ag.33.1.4

ISO-690 (author-date, English)

BASAK, Soumen, P. C., Saritha, MAITY, Alenrex und PAUL, Kanai Chandra, 2025. Machine learning approach to predict the dot gain of flexographic prints. Acta Graphica. 1 April 2025. Vol. 33, no. 1, p. 34-43. DOI 10.25027/ag.33.1.4.

Modern Language Association 9th edition

Basak, S., S. P. C., A. Maity, und K. C. Paul. „Machine Learning Approach to Predict the Dot Gain of Flexographic Prints.“. Acta Graphica, Bd. 33, Nr. 1, April 2025, S. 34-43, https://doi.org/10.25027/ag.33.1.4.

Mohr Siebeck - Recht (Deutsch - Österreich)

Basak, Soumen/P. C., Saritha/Maity, Alenrex/Paul, Kanai Chandra: Machine learning approach to predict the dot gain of flexographic prints., Acta Graphica 2025, 34-43.

Emerald - Harvard

Basak, S., P. C., S., Maity, A. und Paul, K.C. (2025), „Machine learning approach to predict the dot gain of flexographic prints.“, Acta Graphica, Vol. 33 No. 1, S. 34-43.

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