hilarie sit christopher j. earls first published:   may key points we propose a machine learning approach for real‐time characterization of em propagation within the marine atmospheric boundary layer gaussian process regression can be effective in predicting em duct height from propagation factor...
hilarie sit christopher j. earls first published:   may key points we propose a machine learning approach for real‐time characterization of em propagation within the marine atmospheric boundary layer gaussian process regression can be effective in predicting em duct height from propagation factor...