American Psychological Association 6th edition

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 and 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 December 2023. P. 1-18. DOI 10.1007/s00521-023-09246-w.

Modern Language Association 9th edition

Sha, Y., H. Wang, D. Wang, and 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, Dec. 2023, pp. 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 - Harvard

Sha, Y., Wang, H., Wang, D. and 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, pp. 1-18.

Warning: These citations may not always be 100% accurate.