American Psychological Association 6th edition

Luo, C.-Y., Pearson, P., Xu, G., & Rich, S. M. (2022). A Computer Vision-Based Approach for Tick Identification Using Deep Learning Models. Insects (2075-4450), 13(2), N.PAG-0. https://doi.org/10.3390 nsects13020116

ISO-690 (author-date, English)

LUO, Chu-Yuan, PEARSON, Patrick, XU, Guang und RICH, Stephen M., 2022. A Computer Vision-Based Approach for Tick Identification Using Deep Learning Models. Insects (2075-4450). 1 Februar 2022. Vol. 13, no. 2, p. N.PAG-0. DOI 10.3390 nsects13020116.

Modern Language Association 9th edition

Luo, C.-Y., P. Pearson, G. Xu, und S. M. Rich. „A Computer Vision-Based Approach for Tick Identification Using Deep Learning Models.“. Insects (2075-4450), Bd. 13, Nr. 2, Februar 2022, S. N.PAG-0, https://doi.org/10.3390 nsects13020116.

Mohr Siebeck - Recht (Deutsch - Österreich)

Luo, Chu-Yuan/Pearson, Patrick/Xu, Guang/Rich, Stephen M.: A Computer Vision-Based Approach for Tick Identification Using Deep Learning Models., Insects (2075-4450) 2022, N.PAG-0.

Emerald - Harvard

Luo, C.-Y., Pearson, P., Xu, G. und Rich, S.M. (2022), „A Computer Vision-Based Approach for Tick Identification Using Deep Learning Models.“, Insects (2075-4450), Vol. 13 No. 2, S. N.PAG-0.

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