APA (7th ed.) Citation

Mohamed, N. E. M., Awdalla, M., Ali, H. I., & Soliman, A. (2025). Addressing Anomaly Detection and Concept Drift in Non-Stationary IoT Environments with an Uncertainty-Aware Deep Generative Model. 2025 13th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), Electronics, Communications, and Computations (JAC-ECC), 2025 13th International Japan-Africa Conference on, 331. https://doi.org/10.1109/JAC-ECC67970.2025.11417606

Chicago Style (17th ed.) Citation

Mohamed, Noor El-Deen M., Medhat Awdalla, Hossam I. Ali, and Ahmed Soliman. "Addressing Anomaly Detection and Concept Drift in Non-Stationary IoT Environments with an Uncertainty-Aware Deep Generative Model." 2025 13th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), Electronics, Communications, and Computations (JAC-ECC), 2025 13th International Japan-Africa Conference on 2025: 331. https://doi.org/10.1109/JAC-ECC67970.2025.11417606.

MLA (9th ed.) Citation

Mohamed, Noor El-Deen M., et al. "Addressing Anomaly Detection and Concept Drift in Non-Stationary IoT Environments with an Uncertainty-Aware Deep Generative Model." 2025 13th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), Electronics, Communications, and Computations (JAC-ECC), 2025 13th International Japan-Africa Conference on, 2025, p. 331, https://doi.org/10.1109/JAC-ECC67970.2025.11417606.