American Psychological Association 6th edition

Amulu, L. M., Manjusha, M., & Ashok, J. (2024). An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers. Evolving Systems: An Interdisciplinary Journal for Advanced Science and Technology, 15(5), 1801-1815. https://doi.org/10.1007/s12530-024-09586-5

ISO-690 (author-date, English)

AMULU, Lourdes Mary, MANJUSHA, M. und ASHOK, J., 2024. An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers. Evolving Systems: An Interdisciplinary Journal for Advanced Science and Technology. 1 Oktober 2024. Vol. 15, no. 5, p. 1801-1815. DOI 10.1007/s12530-024-09586-5.

Modern Language Association 9th edition

Amulu, L. M., M. Manjusha, und J. Ashok. „An Improved K-Means Clustering and Optimal Random Forest for Scheduling Workloads in Virtual Servers“. Evolving Systems: An Interdisciplinary Journal for Advanced Science and Technology, Bd. 15, Nr. 5, Oktober 2024, S. 1801-15, https://doi.org/10.1007/s12530-024-09586-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Amulu, Lourdes Mary/Manjusha, M./Ashok, J.: An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers, Evolving Systems: An Interdisciplinary Journal for Advanced Science and Technology 2024, 1801-1815.

Emerald - Harvard

Amulu, L.M., Manjusha, M. und Ashok, J. (2024), „An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers“, Evolving Systems: An Interdisciplinary Journal for Advanced Science and Technology, Vol. 15 No. 5, S. 1801-1815.

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