Work

Estimation for Nominal Wake Field of Ships by Using Machine Learning Model

Year: 2024

Type: article

Source: Journal of the Society of Naval Architects of Korea

DOI: 10.3744/snak.2024.61.5.343

Authors: Yoo-Chul Kim, Gun-Do Kim, Seongmo Yeon, Seung-Hyun Hwang, Young-Yeon Lee, Kwang-Soo Kim

Language: English

Topic: Ship Hydrodynamics and Maneuverability

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Korea Research Institute of Ships and Ocean Engineering

Awards: G2903174125, G669731363, G8187061668, G859900322

OpenAlex ID: W4403495394

FWCI:

Cites: 14

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Related to: 10