?url_ver=Z39.88-2004&rft_id=10.11591%2Fijai.v11.i3.pp977-985&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Radzman&rft.au=Radzman%2C+Muhammad+Iqmmal+Rezzwan&rft.aufirst=Muhammad+Iqmmal+Rezzwan&rft.atitle=Pipe+leakage+detection+system+with+artificial+neural+network&rft.issue=3&rft.pages=977+%E2%80%93+985&rft.date=2022&rft.volume=11&rft.issn=20894872&rft.title=IAES+International+Journal+of+Artificial+Intelligence&rft.genre=article