PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Ocean Engineering and Technology10.26748/ksoe.2022.0072022363194-210Review on Applications of Machine Learning in Coastal and Ocean EngineeringTaeyoon Kim, Woo-Dong Leehttp://joet.org/upload/pdf/KSOE-2022-007.pdf, http://joet.org/journal/view.php?doi=10.26748/KSOE.2022.007, http://joet.org/upload/pdf/KSOE-2022-007.pdf
Ocean Engineering10.1016/j.oceaneng.2021.1085922021221108592Coastal zone significant wave height prediction by supervised machine learning classification algorithmsDemetris Demetriou, Constantine Michailides, George Papanastasiou, Toula Onoufriouhttps://api.elsevier.com/content/article/PII:S0029801821000275?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0029801821000275?httpAccept=text/plain
Ocean Engineering Mechanics10.1017/cbo9780511812309.0102009258-272Coastal Engineering Considerationshttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/74CFCC9BDFD599062E94C52FA7C82A6F
Ocean & Coastal Management10.1016/j.ocecoaman.2020.1053612020198105361A new machine learning approach to seabed biotope classificationKeith M. Cooper, Jon Barryhttps://api.elsevier.com/content/article/PII:S0964569120302696?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0964569120302696?httpAccept=text/plain
Encyclopedia of Ocean Engineering10.1007/978-981-10-6946-8_3004352022957-957Machine Learninghttps://link.springer.com/content/pdf/10.1007/978-981-10-6946-8_300435
Ocean Engineering Mechanics10.1017/cbo9780511812309.0092009224-257Waves in the Coastal Zonehttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/4E38EF750BF45FE4D177B846652B8037
10.5194/nhess-2019-1422019Machine Learning Analysis of Lifeguard Flag Decisions and Recorded RescuesChris Houser, Jacob Lehner, Phil Wernettehttps://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2019-142/nhess-2019-142.pdf
Journal of Ocean Engineering and Technology10.26748/ksoe.2020.0162020345371-376Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion ApplicationsHaesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kimhttp://joet.org/upload/pdf/joet-34-5-371.pdf, http://joet.org/journal/view.php?doi=10.26748/KSOE.2020.016, http://joet.org/upload/pdf/joet-34-5-371.pdf
Volume 10: Petroleum Technology10.1115/omae2021-630942021Machine Learning Applications in Drilling Fluid Engineering: a ReviewSercan Gulhttps://asmedigitalcollection.asme.org/OMAE/proceedings-pdf/doi/10.1115/OMAE2021-63094/6780918/v010t11a007-omae2021-63094.pdf, https://asmedigitalcollection.asme.org/OMAE/proceedings-pdf/doi/10.1115/OMAE2021-63094/6780918/v010t11a007-omae2021-63094.pdf
Ocean Engineering10.1016/j.oceaneng.2021.1091162021233109116Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methodsAbdüsselam Altunkaynak, Elif Kartalhttps://api.elsevier.com/content/article/PII:S0029801821005527?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0029801821005527?httpAccept=text/plain