Quality risk analysis for sustainable smart water supply using data perception

HIGHLIGHTS

• who: Di Wu and collaborators from the (UNIVERSITY) have published the article: Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception, in the Journal: (JOURNAL)
• what: The authors provide a possible solution by building a risk analysis framework for the urban water supply system. To provide explainable results the authors propose an Adaptive Frequency Analysis (Adp-FA) method to resolve the data using indicators' frequency domain information for their inner relationships and individual prediction. Based on water quality data collected from water supply systems, the authors propose a framework for water quality analysis . . .
  

   

  

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