Pandey, A. and Tang, W. (2025) “Data-Driven Modeling of Temporal Dynamics Using Machine Learning: Application to Gas Turbine Generators”, in. doi:10.1109/NAPS66256.2025.11272246.
Chicago Manual of Style 17th edition (full note)Pandey, Aaditya, and Wenyuan Tang. “Data-Driven Modeling of Temporal Dynamics Using Machine Learning: Application to Gas Turbine Generators”. In . https://doi.org/10.1109/NAPS66256.2025.11272246.
American Psychological Association 7th editionPandey, A., & Tang, W. (2025, October 26). Data-Driven Modeling of Temporal Dynamics Using Machine Learning: Application to Gas Turbine Generators. https://doi.org/10.1109/NAPS66256.2025.11272246
Modern Language Association 9th editionPandey, A., and W. Tang. Data-Driven Modeling of Temporal Dynamics Using Machine Learning: Application to Gas Turbine Generators. 2025, https://doi.org/10.1109/NAPS66256.2025.11272246.
ISO-690 (author-date, Deutsch)PANDEY, Aaditya and Wenyuan TANG, 2025. Data-Driven Modeling of Temporal Dynamics Using Machine Learning: Application to Gas Turbine Generators. In: . 26 October 2025