?url_ver=Z39.88-2004&rft_id=10.3390%2Fsym14071487&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Umair&rft.au=Umair%2C+M.&rft.aufirst=M.&rft.title=Symmetry&rft.issn=20738994&rft.atitle=A+Novel+Deep+Learning+Model+for+Sea+State+Classification+Using+Visual-Range+Sea+Images&rft.volume=14&rft.date=2022&rft.issue=7&rft.genre=article