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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 15, 2022

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

  • The Emergence of Glycobiology: Advancing Personalized Medicine Through Glycan Analysis and Profiling
  • From Bench to Bedside: The Contribution of Glycoproteomics in Next-Generation Therapeutic Development
  • Investigating Glycosylation Profiles with Mass Spectrometric Analysis: A pivotal development in Bioconjugation Techniques and Drug Discovery
  • The Emergence of Glycobiology: Crafting Personalized Medicine Through Glycan Analysis and Profiling
  • Examining Glycosylation Profiles with Mass Spectrometry: A pivotal development in Bioconjugation and Pharmaceutical Development
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