A Hybrid Machine Learning Model For Ship Speed Through Water: Solve And Predict

Ayoub Atanane; Zakarya Elmimouni; Loubna Benabbou

doi:https://doi.org/10.5194/egusphere-egu25-14039

[Back] [Session VPS30]

EGU25-14039, updated on 15 Mar 2025

https://doi.org/10.5194/egusphere-egu25-14039

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Hybrid Machine Learning Model For Ship Speed Through Water: Solve And Predict

Ayoub Atanane¹, Zakarya Elmimouni

², and Loubna Benabbou¹

Ayoub Atanane et al.

¹Université du Québec à Rimouski, Canada (ayoub.atanane@uqar.ca)
²ENSAE Paris

How to cite: Atanane, A., Elmimouni, Z., and Benabbou, L.: A Hybrid Machine Learning Model For Ship Speed Through Water: Solve And Predict, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14039, https://doi.org/10.5194/egusphere-egu25-14039, 2025.

This abstract has been withdrawn on 25 Jul 2025.