Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review.

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Title: Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review.
Authors: Danyaro, Kamaluddeen Usman1, abdullahi_18001208@utp.edu.mykamaluddeen.usman@utp.edu.my, Hussain, Haizatul Hafizah2, haizatulhafizah.hus@utp.edu.my, Abdullahi, Mujaheed1, Liew, M. S.3, shahir_liew@utp.edu.my, Shawn, Lim Eu3, shawn.lim@utp.edu.my, Abubakar, Mustapha Yusuf4, mygawuna@kanopoly.edu.ng
Source: Applied Sciences (2076-3417); Jun2022, Vol. 12 Issue 11, p5690-5690, 21p
Database: Applied Science & Technology Source
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  Data: Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2022, Vol. 12 Issue 11, p5690-5690, 21p
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        Value: 10.3390/app12115690
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        Text: English
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      – TitleFull: Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review.
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              Text: Jun2022
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              Y: 2022
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