ARTICLE
|
doi:10.20944/preprints202308.1636.v1
Subject:
Engineering,
Civil Engineering
Keywords:
machine learning; supervised classification; drinking water quality; data-driven; artificial intelligence
Online: 24 August 2023 (03:20:26 CEST)