?url_ver=Z39.88-2004&rft_id=10.1016%2Fj.egyr.2023.08.009&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=A.M.&rft.aulast=Al-Sabaeei&rft.au=Al-Sabaeei%2C+A.M.&rft.volume=10&rft.atitle=Prediction+of+oil+and+gas+pipeline+failures+through+machine+learning+approaches%3A+A+systematic+review&rft.title=Energy+Reports&rft.pages=1313-1338&rft.date=2023&rft.genre=article