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 & the Environment. 1 März 2025. Vol. 44, no. 1, p. 133-148. DOI 10.1007/s10230-024-01021-0.

Elsevier - Harvard (with titles)

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 & the Environment 44, 133-148. https://doi.org/10.1007/s10230-024-01021-0

American Psychological Association 7th 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 & the Environment, 44(1), 133-148. https://doi.org/10.1007/s10230-024-01021-0

Springer - Basic (author-date)

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 & the Environment 44:133-148. https://doi.org/10.1007/s10230-024-01021-0

Juristische Zitierweise (Stüber) (Deutsch)

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 & the Environment 2025, 133-148.

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