?url_ver=Z39.88-2004&rft_id=10.3390%2Fapp11041492&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=H.&rft.au=Daud%2C+H.&rft.aulast=Daud&rft.title=Applied+Sciences+(Switzerland)&rft.date=2021&rft.volume=11&rft.issn=20763417&rft.issue=4&rft.atitle=A+novel+methodology+for+hydrocarbon+depth+prediction+in+seabed+logging%3A+Gaussian+process-based+inverse+modeling+of+electromagnetic+data&rft.pages=1-20&rft.genre=article