Sha, Y., Wang, H., Wang, D., & Ghobaei-Arani, M. (2023). A multi-objective Qo S-aware Io T service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment. Neural Computing and Applications, 1-18. https://doi.org/10.1007/s00521-023-09246-w
ISO-690 (author-date, English)SHA, Yan, WANG, Hui, WANG, Dan und GHOBAEI-ARANI, Mostafa, 2023. A multi-objective Qo S-aware Io T service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment. Neural Computing and Applications. 3 Dezember 2023. P. 1-18. DOI 10.1007/s00521-023-09246-w.
Modern Language Association 9th editionSha, Y., H. Wang, D. Wang, und M. Ghobaei-Arani. „A Multi-Objective Qo S-Aware Io T Service Placement Mechanism Using Teaching Learning-Based Optimization in the Fog Computing Environment“. Neural Computing and Applications, Dezember 2023, S. 1-18, https://doi.org/10.1007/s00521-023-09246-w.
Mohr Siebeck - Recht (Deutsch - Österreich)Sha, Yan/Wang, Hui/Wang, Dan/Ghobaei-Arani, Mostafa: A multi-objective Qo S-aware Io T service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment, Neural Computing and Applications 2023, 1-18.
Emerald - HarvardSha, Y., Wang, H., Wang, D. und Ghobaei-Arani, M. (2023), „A multi-objective Qo S-aware Io T service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment“, Neural Computing and Applications, S. 1-18.