Machine learning framework for the real-time reconstruction of regional 4D ocean temperature fields from historical reanalysis data and real-time satellite and buoy surface measurements
An unmanned autonomous vehicle (UAV) is sent on a mission to explore and reconstruct an unknown environment from a series of measurements collected by Bayesian optimization. The success of the mission is judged by the UAV’s ability to faithfully reconstruct any anomalousfeatures present in the envir...
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Format: | Article |
Language: | English |
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Elsevier BV
2024
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Online Access: | https://hdl.handle.net/1721.1/154222 |