A high-precision interpretable framework for marine dissolved oxygen concentration inversion
Xin Li,
Zhenyi Liu,
Zongchi Yang
et al.
Abstract:Variations in Marine Dissolved Oxygen Concentrations (MDOC) play a critical role in the study of marine ecosystems and global climate evolution. Although artificial intelligence methods, represented by deep learning, can enhance the precision of MDOC inversion, the uninterpretability of the operational mechanism involved in the “black-box” often make the process difficult to interpret. To address this issue, this paper proposes a high-precision interpretable framework (CDRP) for intelligent MDOC inversion, inc… Show more
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