?url_ver=Z39.88-2004&rft_id=10.1007%2F978-981-19-1939-8%E2%82%85%E2%82%85&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Perumal%2C+P.&rft.aulast=Perumal&rft.aufirst=P.&rft.pages=705-719&rft.atitle=Residual+Strength+Prediction+of+a+Pipeline+with+Interacting+Corrosion+Defects+Subjected+to+Combined+Loading+Using+Artificial+Neural+Networks&rft.date=2023&rft.title=Lecture+Notes+in+Mechanical+Engineering&rft.genre=article