MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY

Hafez Ahmad

doi:10.3153/AR19014

EN

MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY

Abstract

Machine learning (ML) is a subset of artificial intelligence that enables to take decision based on data. Artificial intelligence makes possible to integrate ML capabilities into data driven modelling systems in order to bridge the gaps and lessen demands on human experts in oceanographic research .ML algorithms have proven to be a powerful tool for analysing oceanographic and climate data with high accuracy in efficient way. ML has a wide spectrum of real time applications in oceanography and Earth sciences. This study has explained in simple way the realistic uses and applications of major ML algorithms. The main application of machine learning in oceanography is prediction of ocean weather and climate, habitat modelling and distribution, species identification, coastal water monitoring, marine resources management, detection of oil spill and pollution and wave modelling.

Keywords

Machine learning,Oceanography,Application,Data driven

References

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Details

Primary Language

English

Subjects

Maritime Engineering (Other)

Journal Section

Review

Authors

Hafez Ahmad ^*
0000-0001-9490-9335
Bangladesh

Publication Date

July 1, 2019

Submission Date

June 16, 2019

Acceptance Date

June 28, 2019

Published in Issue

Year 2019 Volume: 2 Number: 3

DOI

https://doi.org/10.3153/AR19014

IZ

https://izlik.org/JA92CP49XZ

Cite

RIS / Bibtex

APA

Ahmad, H. (2019). MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY. Aquatic Research, 2(3), 161-169. https://doi.org/10.3153/AR19014

Öz

MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite