?url_ver=Z39.88-2004&rft_id=10.3390%2Fen15051725&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=G.T.&rft.aulast=Chala&rft.au=Chala%2C+G.T.&rft.volume=15&rft.issn=19961073&rft.issue=5&rft.atitle=Artificial+Neural+Network+and+Regression+Models+for+Predicting+Intrusion+of+Non-Reacting+Gases+into+Production+Pipelines&rft.title=Energies&rft.date=2022&rft.genre=article