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Filtrado por: Contribuyente Lazakis, Iraklis

1. Development of a novel integrated value engineering and risk assessment (VENRA) framework for shipyard performance measurement

Creador:: Baihaqi, Imam
Fecha:: 2024
Funder:: Beasiswa Pendidikan Pascasarjana Luar Negeri (BPPLN)
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

2. Development of a maintenance analytics framework for the diagnosis and prognosis of marine systems

Creador:: Velasco-Gallego, Christian
Fecha:: 2022
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

3. An integrated machine learning framework for enhanced vessel operational efficiency

Creador:: Gkerekos, Christos
Fecha:: 2020 and 2021
Funder:: Dr Iraklis Lazakis, Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

4. Development of an advanced artificial intelligent reliability analysis tool to enhance ship operations and maintenance activities

Creador:: Oikonomou, Stylianos
Fecha:: 2021
Funder:: UK Research and Innovation
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

5. Maritime security decision support system based on game theory and case-specific analysis

Creador:: Khawaja, Alaa Uthman O.
Fecha:: 2021
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

6. An integrated framework for resource assessment and operation and maintenance cost modelling for wave energy farm

Creador:: Antai, Emmanuel Edet
Fecha:: 2018
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

7. A compound novel data-driven and reliability-based predictive maintenance framework for ship machinery systems

Creador:: Cheliotis, Michail Fragkiskos
Fecha:: 2020
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

8. Multi-criteria decision support system for the best ship maintenance strategy

Creador:: Kwon, Dosoo
Fecha:: 2018
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

9. Combination of reliability tools and artificial intelligence in a hybrid condition monitoring framework for ship machinery systems

Creador:: Raptodimos, Yiannis
Fecha:: 2018
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering

10. Development of an innovative business-oriented probability-based maintenance (BOPM) methodology for ship machinery systems

Creador:: Taheri, Atabak
Fecha:: 2018
Department, School or Faculty:: Department of Naval Architecture, Ocean and Marine Engineering