APA (7th ed.) Citation

Labib, M. I., & Mohamed, F. H. (2026). An Efficient Lightweight CNN Autoencoder for Skeleton-Based Video Anomaly Detection. Engineering, Technology & Applied Science Research, 16(3), 36849. https://doi.org/10.48084/etasr.18897

Chicago Style (17th ed.) Citation

Labib, Mostafa Ibrahim, and Fatma Harby Mohamed. "An Efficient Lightweight CNN Autoencoder for Skeleton-Based Video Anomaly Detection." Engineering, Technology & Applied Science Research 16, no. 3 (2026): 36849. https://doi.org/10.48084/etasr.18897.

MLA (9th ed.) Citation

Labib, Mostafa Ibrahim, and Fatma Harby Mohamed. "An Efficient Lightweight CNN Autoencoder for Skeleton-Based Video Anomaly Detection." Engineering, Technology & Applied Science Research, vol. 16, no. 3, 2026, p. 36849, https://doi.org/10.48084/etasr.18897.