ISO-690 (author-date, English)

PAN H, ZHENG G, HUTTER Á und HUANG Z, 2022. Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example. Computational intelligence and neuroscience. 10 Oktober 2022. Vol. 2022, , p. 3746393-3746393. DOI 10.1155/2022/3746393.

Elsevier - Harvard (with titles)

Pan H, Zheng G, Hutter Á, Huang Z, 2022. Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example. Computational intelligence and neuroscience 2022, 3746393-3746393. https://doi.org/10.1155/2022/3746393

American Psychological Association 7th edition

Pan H, Zheng G, Hutter Á, & Huang Z. (2022). Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example. Computational Intelligence and Neuroscience, 2022, 3746393-3746393. https://doi.org/10.1155/2022/3746393

Springer - Basic (author-date)

Pan H, Zheng G, Hutter Á, Huang Z (2022) Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example.. Computational intelligence and neuroscience 2022:3746393-3746393. https://doi.org/10.1155/2022/3746393

Juristische Zitierweise (Stüber) (Deutsch)

Pan H/ Zheng G/ Hutter Á/ Huang Z, Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example., Computational intelligence and neuroscience 2022, 3746393-3746393.

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