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Centre of Higher Technical Innovation and Maritime Skills, Plymouth
Centre of Higher Technical Innovation and Maritime Skills, Plymouth
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Centre of Higher Technical Innovation and Maritime Skills, Plymouth

Wright, Paul G

Seaways, 2024-02, p.31

London: The Nautical Institute

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ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints
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ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints

Bagazinski, Noah J. ; Ahmed, Faez

Journal of marine science and engineering, 2023-12, Vol.11 (12), p.2215 [Periódico revisado por pares]

Basel: MDPI AG

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3
RECENT WORKBOAT DELIVERIES KEEP ENHANCED FUEL EFFICIENCIES IN MIND
RECENT WORKBOAT DELIVERIES KEEP ENHANCED FUEL EFFICIENCIES IN MIND
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RECENT WORKBOAT DELIVERIES KEEP ENHANCED FUEL EFFICIENCIES IN MIND

Marine Log, 2023-11, Vol.128 (11), p.26-30

New York: Simmons-Boardman Publishing Corporation

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4
Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model
Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model
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Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model

La Ferlita, Alessandro ; Qi, Yan ; Di Nardo, Emanuel ; Moenster, Karoline ; Schellin, Thomas E. ; EL Moctar, Ould ; Rasewsky, Christoph ; Ciaramella, Angelo

Journal of marine science and engineering, 2023-10, Vol.11 (10), p.1854 [Periódico revisado por pares]

Basel: MDPI AG

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5
New IMO Secretary General
New IMO Secretary General
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New IMO Secretary General

Seaways, 2023-08, p.21

London: The Nautical Institute

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6
Comparison between the Employment of a Multibeam Echosounder on an Unmanned Surface Vehicle and Traditional Photogrammetry as Techniques for Documentation and Monitoring of Shallow-Water Cultural Heritage Sites: A Case Study in the Bay of Algeciras
Comparison between the Employment of a Multibeam Echosounder on an Unmanned Surface Vehicle and Traditional Photogrammetry as Techniques for Documentation and Monitoring of Shallow-Water Cultural Heritage Sites: A Case Study in the Bay of Algeciras
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Comparison between the Employment of a Multibeam Echosounder on an Unmanned Surface Vehicle and Traditional Photogrammetry as Techniques for Documentation and Monitoring of Shallow-Water Cultural Heritage Sites: A Case Study in the Bay of Algeciras

Solana Rubio, Soledad ; Salas Romero, Alberto ; Cerezo Andreo, Felipe ; González Gallero, Raúl ; Rengel, Juan ; Rioja, Luis ; Callejo, Joaquín ; Bethencourt, Manuel

Journal of marine science and engineering, 2023-07, Vol.11 (7), p.1339 [Periódico revisado por pares]

Basel: MDPI AG

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7
Tangential developable and hydrodynamic surfaces for early stage of ship shape design
Tangential developable and hydrodynamic surfaces for early stage of ship shape design
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Tangential developable and hydrodynamic surfaces for early stage of ship shape design

Krivoshapko, Sergey N.

Ships and offshore structures, 2023-05, Vol.18 (5), p.660-668 [Periódico revisado por pares]

Cambridge: Taylor & Francis

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8
A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model
A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model
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A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model

La Ferlita, Alessandro ; Qi, Yan ; Di Nardo, Emanuel ; el Moctar, Ould ; Schellin, Thomas E. ; Ciaramella, Angelo

Journal of marine science and engineering, 2023-04, Vol.11 (4), p.850 [Periódico revisado por pares]

Basel: MDPI AG

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9
Bulkheads’ Position Optimisation in the Concept Design of Ships under Deterministic Rules
Bulkheads’ Position Optimisation in the Concept Design of Ships under Deterministic Rules
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Bulkheads’ Position Optimisation in the Concept Design of Ships under Deterministic Rules

Braidotti, Luca ; Prpić-Oršić, Jasna

Journal of marine science and engineering, 2023-03, Vol.11 (3), p.546 [Periódico revisado por pares]

Basel: MDPI AG

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10
Machine learning for naval architecture, ocean and marine engineering
Machine learning for naval architecture, ocean and marine engineering
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Machine learning for naval architecture, ocean and marine engineering

PANDA, J P

Journal of marine science and technology, 2023-03, Vol.28 (1), p.1-26 [Periódico revisado por pares]

Tokyo: Springer Japan

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