A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

Original language	English
Title of host publication	Offshore Technology Conference
DOIs	https://doi.org/10.4043/35104-MS
Publication status	Published - 29 Apr 2024

Access to Document

@inproceedings{c8f2fd301605406b96ce1709f93299dc,

title = "A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico",

author = "Edward Steele and Jiaxin Chen and Ian Ashton and Ajit Pillai and Sergio Jaramillo and Pak Leung and Luz Zarate",

year = "2024",

month = apr,

day = "29",

doi = "10.4043/35104-MS",

language = "English",

booktitle = "Offshore Technology Conference",

}

TY - GEN

T1 - A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico

AU - Steele, Edward

AU - Chen, Jiaxin

AU - Ashton, Ian

AU - Pillai, Ajit

AU - Jaramillo, Sergio

AU - Leung, Pak

AU - Zarate, Luz

PY - 2024/4/29

Y1 - 2024/4/29

U2 - 10.4043/35104-MS

DO - 10.4043/35104-MS

M3 - Conference proceedings published in a book

BT - Offshore Technology Conference

ER -