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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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2
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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3
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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4
Material and Production Optimization of the Ship Design Process by Introducing CADs from Early Design Stages
Material and Production Optimization of the Ship Design Process by Introducing CADs from Early Design Stages
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Material and Production Optimization of the Ship Design Process by Introducing CADs from Early Design Stages

Perez-Martinez, Jaime ; Perez Fernandez, Rodrigo

Journal of marine science and engineering, 2023-01, Vol.11 (1), p.233 [Periódico revisado por pares]

Basel: MDPI AG

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5
Prediction of a Ship’s Operational Parameters Using Artificial Intelligence Techniques
Prediction of a Ship’s Operational Parameters Using Artificial Intelligence Techniques
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Prediction of a Ship’s Operational Parameters Using Artificial Intelligence Techniques

Alexiou, Kiriakos ; Pariotis, Efthimios G. ; Zannis, Theodoros C. ; Leligou, Helen C.

Journal of marine science and engineering, 2021-06, Vol.9 (6), p.681 [Periódico revisado por pares]

Basel: MDPI AG

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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
Review on Ship Manoeuvrability Criteria and Standards
Review on Ship Manoeuvrability Criteria and Standards
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Review on Ship Manoeuvrability Criteria and Standards

Sutulo, Serge ; Guedes Soares, C.

Journal of marine science and engineering, 2021-08, Vol.9 (8), p.904 [Periódico revisado por pares]

Basel: MDPI AG

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8
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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9
Uncertainties of Estimating Extreme Significant Wave Height for Engineering Applications Depending on the Approach and Fitting Technique—Adriatic Sea Case Study
Uncertainties of Estimating Extreme Significant Wave Height for Engineering Applications Depending on the Approach and Fitting Technique—Adriatic Sea Case Study
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Uncertainties of Estimating Extreme Significant Wave Height for Engineering Applications Depending on the Approach and Fitting Technique—Adriatic Sea Case Study

Katalinić, Marko ; Parunov, Joško

Journal of marine science and engineering, 2020-04, Vol.8 (4), p.259 [Periódico revisado por pares]

Basel: MDPI AG

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10
Reconfiguring Passenger Ship Internal Environment for Damage Stability Enhancement
Reconfiguring Passenger Ship Internal Environment for Damage Stability Enhancement
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Reconfiguring Passenger Ship Internal Environment for Damage Stability Enhancement

Vassalos, Dracos ; Paterson, Donald

Journal of marine science and engineering, 2020-09, Vol.8 (9), p.693 [Periódico revisado por pares]

Basel: MDPI AG

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