American Psychological Association 6th edition

Cui, M., Hou, E., Feng, D., Che, X., Xie, X., & Hou, P. (2025). Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China. Mine Water and the Environment: Journal of the International Mine Water Association (IMWA), 1-16. https://doi.org/10.1007/s10230-024-01021-0

ISO-690 (author-date, English)

CUI, Mingyi, HOU, Enke, FENG, Dong, CHE, Xiaoyang, XIE, Xiaoshen und HOU, Pengfei, 2025. Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China. Mine Water and the Environment: Journal of the International Mine Water Association (IMWA). 28 Januar 2025. P. 1-16. DOI 10.1007/s10230-024-01021-0.

Modern Language Association 9th edition

Cui, M., E. Hou, D. Feng, X. Che, X. Xie, und P. Hou. „Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China“. Mine Water and the Environment: Journal of the International Mine Water Association (IMWA), Januar 2025, S. 1-16, https://doi.org/10.1007/s10230-024-01021-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Cui, Mingyi/Hou, Enke/Feng, Dong/Che, Xiaoyang/Xie, Xiaoshen/Hou, Pengfei: Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China, Mine Water and the Environment: Journal of the International Mine Water Association (IMWA) 2025, 1-16.

Emerald - Harvard

Cui, M., Hou, E., Feng, D., Che, X., Xie, X. und Hou, P. (2025), „Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China“, Mine Water and the Environment: Journal of the International Mine Water Association (IMWA), S. 1-16.

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