omar, K., ALAOUI, E. A. A., Errousso, H., Filali, Y., Chekira, C., & Agoujil, S. (2024). Harnessing Deep Learning Techniques for Enhanced Detection and Classification of Cracks in Pavement Imagery. Procedia Computer Science, 236, 386-393. https://doi.org/10.1016/j.procs.2024.05.045
ISO-690 (author-date, English)OMAR, Knnou, ALAOUI, El Arbi ABDELLAOUI, ERROUSSO, Hanae, FILALI, Youssef, CHEKIRA, Chaimae und AGOUJIL, Said, 2024. Harnessing Deep Learning Techniques for Enhanced Detection and Classification of Cracks in Pavement Imagery. Procedia Computer Science. 1 März 2024. Vol. 236, , p. 386-393. DOI 10.1016/j.procs.2024.05.045.
Modern Language Association 9th editionomar, K., E. A. A. ALAOUI, H. Errousso, Y. Filali, C. Chekira, und S. Agoujil. „Harnessing Deep Learning Techniques for Enhanced Detection and Classification of Cracks in Pavement Imagery.“. Procedia Computer Science, Bd. 236, März 2024, S. 386-93, https://doi.org/10.1016/j.procs.2024.05.045.
Mohr Siebeck - Recht (Deutsch - Österreich)omar, Knnou/ALAOUI, El Arbi ABDELLAOUI/Errousso, Hanae/Filali, Youssef/Chekira, Chaimae/Agoujil, Said: Harnessing Deep Learning Techniques for Enhanced Detection and Classification of Cracks in Pavement Imagery., Procedia Computer Science 2024, 386-393.
Emerald - Harvardomar, K., ALAOUI, E.A.A., Errousso, H., Filali, Y., Chekira, C. und Agoujil, S. (2024), „Harnessing Deep Learning Techniques for Enhanced Detection and Classification of Cracks in Pavement Imagery.“, Procedia Computer Science, Vol. 236, S. 386-393.