Journal of Marine Science and Engineering, Volume 6, Issue 3
2018 September - 34 articles
Cover Story: Numerous types of marine fouling organisms may be found on the submerged part of offshore structures, as depicted in this cover image. Identification of marine species on-site allows assumptions to be made about their growth rate and coverage, which helps engineers to obtain more accurate estimates of the wave loading. The main objective of this study was to capitalize on recent advances in deep learning by developing a technique that could detect and segment marine growth in imagery captured during underwater inspection campaigns. A key feature of this study was that the deep network was trained using thousands of synthetic images. The team behind this research has a long-held interest in measuring the extent of marine growth and assessing its impact from a structural loading standpoint. View this paper. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.