Machine Learning and Modeling for Ship Design
Machine Learning (ML) is a sub-field of Artificial Intelligence (AI), devoted to understanding and building methods that leverage data to improve performance on sets of tasks [...]
Authors
- Κωνσταντίνος Κώστας (ORCID: https://orcid.org/0000-0002-1052-3329)
- Shahroz Khan (ORCID: https://orcid.org/0000-0003-0298-9089)
- Panagiotis Kaklis
Institutions
- University of Strathclyde (GB)
- University of West Attica (GR)
- Naval Architecture Progress (Greece) (GR)
- Archimedia (Greece) (GR)
- Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
- Nazarbayev University (KZ)
- Foundation for Research and Technology Hellas (GR)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3390/jmse13122304
- Citations
- 2
- Primary Topic
- Ship Hydrodynamics and Maneuverability
- Type
- article
- Field-Weighted Citation Impact
- 2.29