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ISO-690 (author-date, English)

KUMAR, Naween, PRATAP SINGH, Shailendra, BALUSAMY, Balamurugan, SAMUEL, Prithi und PRABHA, Chander, 2026. Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches : Harnessing Distributed Technologies for Enhanced Healthcare Delivery. 1 st ed. Cham: Springer Nature Switzerland. ISBN 9783031962653.

Elsevier - Harvard (with titles)

Kumar, N., Pratap Singh, S., Balusamy, B., Samuel, P., Prabha, C., 2026. Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches : Harnessing Distributed Technologies for Enhanced Healthcare Delivery, 1 st ed. ed, Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development. Springer Nature Switzerland, Cham. https://doi.org/10.1007/978-3-031-96265-3

American Psychological Association 7th edition

Kumar, N., Pratap Singh, S., Balusamy, B., Samuel, P., & Prabha, C. (ca. 2026). Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches : Harnessing Distributed Technologies for Enhanced Healthcare Delivery [Cd]. In Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development (1 st ed.). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-96265-3

Springer - Basic (author-date)

Kumar N, Pratap Singh S, Balusamy B, Samuel P, Prabha C (2026) Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches : Harnessing Distributed Technologies for Enhanced Healthcare Delivery, 1 st ed. Springer Nature Switzerland, Cham

Juristische Zitierweise (Stüber) (Deutsch)

Kumar, Naween/ Pratap Singh, Shailendra/ Balusamy, Balamurugan/ Samuel, Prithi/ Prabha, Chander, Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches : Harnessing Distributed Technologies for Enhanced Healthcare Delivery, 1 st ed. , Cham 2026.

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