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- W3153762445 abstract "As one of the important submarine mineral resources, Cobalt-Rich manganese Crusts (CRCs) are a kind of crustaceous sediment that could occur throughout the Pacific on seamounts, ridges, and plateaus. As a key step of the exploiting work of CRCs, recognizing areas of the seafloor that consist of CRCs can prevent false conclusions being made over areas that do not consist of crusts. In this paper, we built a Programmable Phased Parametric Array Acoustic Probe (PPPAAP) for the in-situ CRCs recognition task. PPPAAP is designed with the dual-channel for receiving the primary and secondary signal, which lays a foundation for the recognition algorithm based on Deep Learning Networks. Finally, we carry out the preliminary experiment based on the several physical phantoms that have similar acoustic properties with CRCs and the sediments to evaluate the effectiveness of the recognition algorithm." @default.
- W3153762445 created "2021-04-26" @default.
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- W3153762445 date "2020-10-05" @default.
- W3153762445 modified "2023-10-18" @default.
- W3153762445 title "Evaluation of the recognition of Cobalt-Rich Manganese Crusts based on Deep Learning Networks with physical phantoms" @default.
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- W3153762445 doi "https://doi.org/10.1109/ieeeconf38699.2020.9389019" @default.
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