Cite
An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation.
MLA
Wang, Kang, et al. “An Integrated System to Significant Wave Height Prediction: Combining Feature Engineering, Multi-Criteria Decision Making, and Hybrid Kernel Density Estimation.” Expert Systems with Applications, vol. 241, May 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.eswa.2023.122351.
APA
Wang, K., Liu, Y., Xing, Q., Qian, Y., Wang, J., & Lv, M. (2024). An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation. Expert Systems with Applications, 241, N.PAG. https://doi.org/10.1016/j.eswa.2023.122351
Chicago
Wang, Kang, Yanru Liu, Qianyi Xing, Yuansheng Qian, Jianzhou Wang, and Mengzheng Lv. 2024. “An Integrated System to Significant Wave Height Prediction: Combining Feature Engineering, Multi-Criteria Decision Making, and Hybrid Kernel Density Estimation.” Expert Systems with Applications 241 (May): N.PAG. doi:10.1016/j.eswa.2023.122351.