Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Narasimhamurthy, R., Mehta, S., & Gadda, R. K. (2025). Reinforcement Learning for Distributed AI Systems: Scalable Indexing, LLM Integration, and Autonomous Decision-Making in Federated Cloud Architectures. Journal of Computational Analysis & Applications, 34(7), 367-380. https://doi.org/10.48047/jocaaa.2025.34.07.22

ISO-690 (author-date, English)

NARASIMHAMURTHY, Rohith, MEHTA, Sushant und GADDA, Rajiv Kishore, 2025. Reinforcement Learning for Distributed AI Systems: Scalable Indexing, LLM Integration, and Autonomous Decision-Making in Federated Cloud Architectures. Journal of Computational Analysis & Applications. 1 Oktober 2025. Vol. 34, no. 7, p. 367-380. DOI 10.48047/jocaaa.2025.34.07.22.

Modern Language Association 9th edition

Narasimhamurthy, R., S. Mehta, und R. K. Gadda. „Reinforcement Learning for Distributed AI Systems: Scalable Indexing, LLM Integration, and Autonomous Decision-Making in Federated Cloud Architectures.“. Journal of Computational Analysis & Applications, Bd. 34, Nr. 7, Oktober 2025, S. 367-80, https://doi.org/10.48047/jocaaa.2025.34.07.22.

Mohr Siebeck - Recht (Deutsch - Österreich)

Narasimhamurthy, Rohith/Mehta, Sushant/Gadda, Rajiv Kishore: Reinforcement Learning for Distributed AI Systems: Scalable Indexing, LLM Integration, and Autonomous Decision-Making in Federated Cloud Architectures., Journal of Computational Analysis & Applications 2025, 367-380.

Emerald - Harvard

Narasimhamurthy, R., Mehta, S. und Gadda, R.K. (2025), „Reinforcement Learning for Distributed AI Systems: Scalable Indexing, LLM Integration, and Autonomous Decision-Making in Federated Cloud Architectures.“, Journal of Computational Analysis & Applications, Vol. 34 No. 7, S. 367-380.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.