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Items where Author is "Ali-Lavroff, J"

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Shabani, B ORCID: 0000-0002-2910-962X, Ali-Lavroff, J ORCID: 0000-0001-5262-8666, Holloway, DS ORCID: 0000-0001-9537-2744, Penev, S, Dessi, D and Thomas, G 2020 , 'Machine learning and cloud computing for remote monitoring of wave piercing catamarans: a case study using MATLAB on Amazon web services', paper presented at the Smart Ship Technology Online Conference 2020, 14-15 October 2020, online.

Shabani, B ORCID: 0000-0002-2910-962X, Ali-Lavroff, J ORCID: 0000-0001-5262-8666, Holloway, DS, Penev, S, Dessi, D and Thomas, G 2020 , 'Machine learning and cloud computing for remote monitoring of wave piercing catamarans: a case study using Matlab on Amazon web services', in Proceedings of the Smart Ship Technology 2020 International Conference , The Royal Institution of Naval Architects, London, pp. 83-94 .

Shabani, B ORCID: 0000-0002-2910-962X, Ali-Lavroff, J ORCID: 0000-0001-5262-8666, Holloway, DS ORCID: 0000-0001-9537-2744, Penev, S, Dessi, D and Thomas, G 2020 , 'Machine learning and cloud computing for remote monitoring of wave piercing catamarans: a case study using Matlab on Amazon web services', in Proceedings of the Smart Ship Technology 2020 International Conference , The Royal Institution of Naval Architects, London, pp. 83-94 .

Shabani, B ORCID: 0000-0002-2910-962X, Ali-Lavroff, J ORCID: 0000-0001-5262-8666, Holloway, DS ORCID: 0000-0001-9537-2744, Penev, S, Dessi, D and Thomas, G 2021 , 'Using remote monitoring and machine learning to classify slam events of wave piercing catamarans' , International Journal of Maritime Engineering, vol. 163, no. A3 , A15-A30 , doi: https://doi.org/10.5750/ijme.v163iA3.797.

Warren, M, Ali-Lavroff, J ORCID: 0000-0001-5262-8666, McVicar, J, Magoga, T, Shabani, B ORCID: 0000-0002-2910-962X, Holloway, DS ORCID: 0000-0001-9537-2744 and Thomas, G 2022 , 'Fatigue estimation on a high-speed wave piercing catamaran during normal operations' , Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering , pp. 1-13 , doi: https://doi.org/10.5750/ijme.v164i1.736.

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