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Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools
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Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools

May 12, 2021November 10, 2021

The overarching speculation of this examine was that temporal microbial potentiometric sensor (MPS) sign patterns could possibly be used to foretell adjustments in generally monitored

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Recent Posts

  • Bio-processing of macroalgae Palmaria palmata: metabolite fractionation from pressed fresh material and ensiling considerations for long-term storage
  • Cultivation of energy microalga Chlorella vulgaris with low-toxic sludge extract
  • Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools
  • Chromochloris zofingiensis (Chlorophyceae) Divides by Consecutive Multiple Fission Cell-Cycle under Batch and Continuous Cultivation
  • Rapid C. Brucella Ab test kit
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