Theodoropoulos, P.; Spandonidis, C.C.; Themelis, N.; Giordamlis, C.; Fassois, S.
Evaluation of Different Deep-Learning Models for the Prediction of a Ship’s Propulsion Power. J. Mar. Sci. Eng. 2021, 9, 116.
https://doi.org/10.3390/jmse9020116
AMA Style
Theodoropoulos P, Spandonidis CC, Themelis N, Giordamlis C, Fassois S.
Evaluation of Different Deep-Learning Models for the Prediction of a Ship’s Propulsion Power. Journal of Marine Science and Engineering. 2021; 9(2):116.
https://doi.org/10.3390/jmse9020116
Chicago/Turabian Style
Theodoropoulos, Panayiotis, Christos C. Spandonidis, Nikos Themelis, Christos Giordamlis, and Spilios Fassois.
2021. "Evaluation of Different Deep-Learning Models for the Prediction of a Ship’s Propulsion Power" Journal of Marine Science and Engineering 9, no. 2: 116.
https://doi.org/10.3390/jmse9020116
APA Style
Theodoropoulos, P., Spandonidis, C. C., Themelis, N., Giordamlis, C., & Fassois, S.
(2021). Evaluation of Different Deep-Learning Models for the Prediction of a Ship’s Propulsion Power. Journal of Marine Science and Engineering, 9(2), 116.
https://doi.org/10.3390/jmse9020116