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sensors-and-automation

Sensors and Automation

Development of data- and knowledge-based modelling and optimization techniques constitutes the main focus of our efforts. This research is accommodated to three challenging...

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Packages
3

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Keywords

  • anomaly detection - 2
  • Active Learning - 1
  • aquatic ecology - 1
  • flow cytometry - 1
  • machine learning - 1
  • Machine Learning - 1
  • urban drainage - 1
  • wastewater - 1

Variables

  • chlorophyll_fluorescence - 2
  • dissolved_oygen - 2
  • DOM_fluorescence - 2
  • electric_conductivity - 2
  • pH - 2
  • phycocyanin_fluorescence - 2
  • temperature - 2
  • flow_cytometric_cell_counts - 1
  • fluorescence - 1
  • light_scattering - 1

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Systems

  • Eawag ponds - 2
  • L ́eXPLORE - 1
  • Online Flow Cytometry - 1
  • Urban Water Observatory - 1
  • Water Hub - 1

Substances

There are no Substances that match this search

Taxa

  • Dreissena polymorpha - 2
  • Myriophyllum spicatum - 2

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2 packages found

Taxa: Myriophyllum spicatum Variables: temperature

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  • Sensors and Automation
    Data for: Active Learning for Anomaly Detection in Environmental data

    This package contains the data and code necessary to run the Active Learning experiments for Anomaly detection. The dataset used for this study is a timeseries data in high...
    • ZIP
    • text/markdown
  • Sensors and Automation
    Data for: The Value of Human Data Annotation for Machine Learning based Anomaly Detection in Environmental Systems

    This package contains the data and code necessary to run the experiments for our paper "The Value of Human Data Annotation for Machine Learning1based Anomaly Detection in...
    • ZIP
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