?url_ver=Z39.88-2004&rft_id=10.1016%2Fj.ijhydene.2023.08.290&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=C.E.&rft.au=Lim%2C+C.E.&rft.aulast=Lim&rft.volume=52&rft.date=2024&rft.pages=1052-1064&rft.title=International+Journal+of+Hydrogen+Energy&rft.atitle=Predicting+microbial+fuel+cell+biofilm+communities+and+power+generation+from+wastewaters+with+artificial+neural+network&rft.genre=article