Lstm-based iot-enabled co2 steady-state forecasting for indoor air quality monitoring

HIGHLIGHTS

  • who: Yingbo Zhu and collaborators from the School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley , BE, UK have published the paper: LSTM-Based IoT-Enabled CO2 Steady-State Forecasting for Indoor Air Quality Monitoring, in the Journal: Electronics 2023, 12, 107. of 23/01/2022
  • what: The authors propose an improved IoT-based low-cost IAQ monitoring system using Artificial Intelligence (AI) to provide recommendations. The authors provide concluding remarks in Section 6 along with an outline of the future works. The aim of this study is to monitor . . .

     

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