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Compound Context-Aware Bayesian Inference Scheme for Smart IoT Environment.

Ihsan Ullah1, Ju-Bong Kim2, Youn-Hee Han2

  • 1Advanced Technology Research Center, Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan 330-708, Korea.

Sensors (Basel, Switzerland)
|April 23, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new Bayesian inference method for smart cities to improve decision-making from sensor data. The compound context-aware scheme enhances data fusion and inference accuracy, leading to better quality of life.

Failed At:

2026-06-19T13:39:32.960971+00:00

Keywords:
Bayesian networksKalman filtercontext awareness and sharingsensor data fusionsmart IoT environmentsmart cities

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