American Psychological Association 6th edition

zfbi. (2021). zfbi/rgt Net: Deep learning for simultaneously interpreting 3 D seismic horizons and faults by estimating a relative geologic time volume. Zenodo. https://doi.org/10.5281/zenodo.5090317

ISO-690 (author-date, English)

ZFBI, 2021. zfbi/rgt Net: Deep learning for simultaneously interpreting 3 D seismic horizons and faults by estimating a relative geologic time volume. Zenodo.

Modern Language Association 9th edition

zfbi. zfbi/rgt Net: Deep learning for simultaneously interpreting 3 D seismic horizons and faults by estimating a relative geologic time volume. Zenodo, 2021, https://doi.org/10.5281/zenodo.5090317.

Mohr Siebeck - Recht (Deutsch - Österreich)

zfbi: zfbi/rgt Net: Deep learning for simultaneously interpreting 3 D seismic horizons and faults by estimating a relative geologic time volume, 2021.

Emerald - Harvard

zfbi. (2021), zfbi/rgt Net: Deep learning for simultaneously interpreting 3 D seismic horizons and faults by estimating a relative geologic time volume, Bd. , Zenodo, verfügbar unter:https://doi.org/10.5281/zenodo.5090317.

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