Summaries - Office of Research & Innovation
Research Summaries
Back Machine Learning Based Passive Sonar Classification
Fiscal Year | 2021 |
Division | Graduate School of Operational & Information Sciences |
Department | Computer Science |
Investigator(s) | Orescanin, Marko |
Sponsor | Naval Sea Systems Command (Navy) |
Summary | NPS will work UWDC and their partners to evaluate and transition NPS algorithms, develop automated labeling of datasets based on UWDC data and NPS technology, and evaluate ship integration strategies for advanced passive sonar monitoring systems. NPS will mainly focus on fusion of AIS stream with real-time passive sonar and state-of-the-art AI/ML algorithms for passive sonar classification and detection while taking into account integration requirements. NPS will transition some of the lab matured technology (at NPS) and develop additional expansions of the technology for automatic data labeling as required by the project. |
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Publications | Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal |
Data | Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal |