Machine Learning and Modeling for Ship Design

Panagiotis D. Kaklis; Konstantinos Kostas; Shahroz Khan; Panagiotis D. Kaklis; Konstantinos Kostas; Shahroz Khan

doi:10.3390/jmse13122304

December 4, 2025Journal of Marine Science and EngineeringOpen Access

Machine Learning and Modeling for Ship Design

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Key Points

Modeling ship design using machine learning can enhance overall performance, promoting efficiency in engineering tasks.
Highlighted outcomes show performance improvement through AI techniques in ship design tasks, benefiting engineering projects.
Analysis focuses on modeling methodologies in engineering, utilizing machine learning to optimize performance outcomes.
This approach supports further integration of AI in naval architecture, emphasizing the transformative impact on engineering practices.

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Implication

Analysis demonstrates that machine learning improves performance metrics in ship design, indicating AI's significant role in engineering advancements.

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Kaklis et al. (2025) studied this question.

synapsesocial.com/papers/693624c34fa91c937236cc65 https://doi.org/10.3390/jmse13122304

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Machine Learning and Modeling for Ship Design

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Machine Learning and Modeling for Ship Design

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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