American Psychological Association 6th edition

Xu, L., Zhang, J.-H., & Yin, C.-W. (2025). PM2.5 prediction using hybrid relevance vector machine with ISSA-optimized multi-kernel and variational mode decomposition. Journal of Ambient Intelligence and Humanized Computing, 1-17. https://doi.org/10.1007/s12652-025-04985-1

ISO-690 (author-date, English)

XU, Lin, ZHANG, Jia-Hao and YIN, Chun-Wu, 2025. PM2.5 prediction using hybrid relevance vector machine with ISSA-optimized multi-kernel and variational mode decomposition. Journal of Ambient Intelligence and Humanized Computing. 10 June 2025. P. 1-17. DOI 10.1007/s12652-025-04985-1.

Modern Language Association 9th edition

Xu, L., J.-H. Zhang, and C.-W. Yin. “PM2.5 Prediction Using Hybrid Relevance Vector Machine With ISSA-Optimized Multi-Kernel and Variational Mode Decomposition”. Journal of Ambient Intelligence and Humanized Computing, June 2025, pp. 1-17, https://doi.org/10.1007/s12652-025-04985-1.

Mohr Siebeck - Recht (Deutsch - Österreich)

Xu, Lin/Zhang, Jia-Hao/Yin, Chun-Wu: PM2.5 prediction using hybrid relevance vector machine with ISSA-optimized multi-kernel and variational mode decomposition, Journal of Ambient Intelligence and Humanized Computing 2025, 1-17.

Emerald - Harvard

Xu, L., Zhang, J.-H. and Yin, C.-W. (2025), “PM2.5 prediction using hybrid relevance vector machine with ISSA-optimized multi-kernel and variational mode decomposition”, Journal of Ambient Intelligence and Humanized Computing, pp. 1-17.

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