Azərbaycan Milli Elmlər Akademiyası
İnsan resursları və elmmetrik məlumatlar bazası

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Qeyd: Əgər DOI məlumdursa, "?????" hissəsini müvafiq DOI ilə əvəz edin. Əgər məlum deyilsə, həmin hissəni silin.

APA: Alguliyev, R., Sukhostat, L., & Imamverdiyev, Y.. (2021). Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems. Neural Computing and Applications, 33(16), 10211–10226. doi: ?????
AMA: [1]Alguliyev R, Sukhostat L, Imamverdiyev Y. Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems. Neural Computing and Applications. 2021;33(16):10211-10226. doi:?????
Chicago: Alguliyev, Rasim, Lyudmila Sukhostat, and Yadigar Imamverdiyev. ‘Hybrid DeepGCL Model for Cyber-attacks Detection on Cyber-physical Systems’. Neural Computing and Applications 33, no. 16 (1 August 2021): 10211–26. Accesseddoi:?????.
IEEE: [1]R. Alguliyev, L. Sukhostatand Y. Imamverdiyev, “Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems”, Neural Computing and Applications, vol. 33, no. 16, pp. 10211–10226, Aug. 2021, doi: ?????. Available: https://link.springer.com/article/10.1007/s00521-021-05785-2
ISNAD: Alguliyev, Rasim - Sukhostat, Lyudmila - Imamverdiyev, Yadigar. “Hybrid DeepGCL Model for Cyber-attacks Detection on Cyber-physical Systems”. Neural Computing and Applications 33/16 (August 1, 2021): 10211–10226. https://doi.org/?????.
Elsevier: [1]Alguliyev R, Sukhostat L, Imamverdiyev Y. Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems. Neural Computing and Applications 2021;33:10211–26. https://doi.org/?????.
MLA: Alguliyev, R., et al.. “Hybrid DeepGCL Model for Cyber-attacks Detection on Cyber-physical Systems”. Neural Computing and Applications, vol. 33, no. 16, Aug. 2021, pp. 10211–26, https://doi.org/?????.
Vancouver: 1.Alguliyev R, Sukhostat L, Imamverdiyev Y. Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems. Neural Computing and Applications [Internet]. 2021Aug1;33(16):10211–26. Available from: https://link.springer.com/article/10.1007/s00521-021-05785-2