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iot-data-analytics

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Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

  • Updated Jun 5, 2023
  • Jupyter Notebook

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

  • Updated Jan 20, 2024
  • Jupyter Notebook

Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

  • Updated Jan 11, 2023
  • Jupyter Notebook
IIoT-Data-Quality-Assessment

A service designed to analyze and assess the quality of high frequency data collected from Industrial Internet of Things (IIoT) sensors, efficiently.## Dependencies This app reads multiple sensor readings that monitor a machine from LeanXcale database supporting energy efficient and incremental analytics.

  • Updated Jul 10, 2024
  • Python

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