?url_ver=Z39.88-2004&rft_id=10.1080%2F19942060.2024.2302906&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Sarwar%2C+U.&rft.aulast=Sarwar&rft.aufirst=U.&rft.issue=1&rft.volume=18&rft.atitle=Enhancing+pipeline+integrity%3A+a+comprehensive+review+of+deep+learning-enabled+finite+element+analysis+for+stress+corrosion+cracking+prediction&rft.title=Engineering+Applications+of+Computational+Fluid+Mechanics&rft.date=2024&rft.genre=article