Prabhakar, T., & Veena, M. (2025). Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder. International Journal of Communication Systems, 38(15), 1-20. https://doi.org/10.1002/dac.70241
ISO-690 (author-date, English)PRABHAKAR, T. S. und VEENA, M. N., 2025. Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder. International Journal of Communication Systems. 1 Oktober 2025. Vol. 38, no. 15, p. 1-20. DOI 10.1002/dac.70241.
Modern Language Association 9th editionPrabhakar, T., und M. Veena. „Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder.“. International Journal of Communication Systems, Bd. 38, Nr. 15, Oktober 2025, S. 1-20, https://doi.org/10.1002/dac.70241.
Mohr Siebeck - Recht (Deutsch - Österreich)Prabhakar, T. S./Veena, M. N.: Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder., International Journal of Communication Systems 2025, 1-20.
Emerald - HarvardPrabhakar, T. und Veena, M. (2025), „Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder.“, International Journal of Communication Systems, Vol. 38 No. 15, S. 1-20.