La Ferlita, A.; Qi, Y.; Di Nardo, E.; Moenster, K.; Schellin, T.E.; EL Moctar, O.; Rasewsky, C.; Ciaramella, A.
Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model. J. Mar. Sci. Eng. 2023, 11, 1854.
https://doi.org/10.3390/jmse11101854
AMA Style
La Ferlita A, Qi Y, Di Nardo E, Moenster K, Schellin TE, EL Moctar O, Rasewsky C, Ciaramella A.
Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model. Journal of Marine Science and Engineering. 2023; 11(10):1854.
https://doi.org/10.3390/jmse11101854
Chicago/Turabian Style
La Ferlita, Alessandro, Yan Qi, Emanuel Di Nardo, Karoline Moenster, Thomas E. Schellin, Ould EL Moctar, Christoph Rasewsky, and Angelo Ciaramella.
2023. "Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model" Journal of Marine Science and Engineering 11, no. 10: 1854.
https://doi.org/10.3390/jmse11101854
APA Style
La Ferlita, A., Qi, Y., Di Nardo, E., Moenster, K., Schellin, T. E., EL Moctar, O., Rasewsky, C., & Ciaramella, A.
(2023). Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model. Journal of Marine Science and Engineering, 11(10), 1854.
https://doi.org/10.3390/jmse11101854