AL-GHANIMI, Hayder H.O. und LAKIZADEH, Amir, 2025. A CNN-Based Framework for Enhancing Image Segmentation and Scene Interpretation in Fake Colorized Images: Addressing Challenges in Image Analysis and Understanding. Ingénierie des Systèmes d’Information. 1 Februar 2025. Vol. 30, no. 2, p. 517-531. DOI 10.18280 si.300223.
Elsevier - Harvard (with titles)Al-Ghanimi, H.H., Lakizadeh, A., 2025. A CNN-Based Framework for Enhancing Image Segmentation and Scene Interpretation in Fake Colorized Images: Addressing Challenges in Image Analysis and Understanding. Ingénierie des Systèmes d’Information 30, 517-531. https://doi.org/10.18280 si.300223
American Psychological Association 7th editionAl-Ghanimi, H. H., & Lakizadeh, A. (2025). A CNN-Based Framework for Enhancing Image Segmentation and Scene Interpretation in Fake Colorized Images: Addressing Challenges in Image Analysis and Understanding. Ingénierie Des Systèmes d’Information, 30(2), 517-531. https://doi.org/10.18280 si.300223
Springer - Basic (author-date)Al-Ghanimi HH, Lakizadeh A (2025) A CNN-Based Framework for Enhancing Image Segmentation and Scene Interpretation in Fake Colorized Images: Addressing Challenges in Image Analysis and Understanding.. Ingénierie des Systèmes d’Information 30:517-531. https://doi.org/10.18280 si.300223
Juristische Zitierweise (Stüber) (Deutsch)Al-Ghanimi, Hayder H.O./ Lakizadeh, Amir, A CNN-Based Framework for Enhancing Image Segmentation and Scene Interpretation in Fake Colorized Images: Addressing Challenges in Image Analysis and Understanding., Ingénierie des Systèmes d’Information 2025, 517-531.