Ventilation Monitoring Models

Ventilation Monitoring Models is a computational framework that integrates real-time sensor data and predictive algorithms to quantify and assess the performance of ventilation systems in indoor environments, distinguishing itself from general ventilation models by emphasizing continuous, data-driven evaluation and fault detection.

7

Publications

249

Citations

36

Authors

19

Institutions

Publications per year

2017–2026

3

Authors

36

  1. NX
    Naiyu Xiao

    Zhongkai University of Agriculture and Engineering, China

    1 publications · 22 citations

    1

    h-index

  2. VW
    Vicky Wang

    Hungkuang University, Taiwan

    1 publications · 15 citations

    1

    h-index

  3. AS
    Ana Sogo

    Corporació Sanitària Parc Taulí, Spain

    1 publications · 40 citations

    1

    h-index

  4. DP
    D. P. Mattey

    Royal Holloway University of London, United Kingdom

    1 publications · 10 citations

    1

    h-index

  5. YC
    Yu‐Min Chang

    National Taipei University of Technology, Taiwan

    1 publications · 22 citations

    1

    h-index

1–5 of 36

Venues

  1. Building and Environment

    2 publications · 141 citations

    2

    h-index

  2. International Journal of Speleology

    1 publications · 10 citations

    1

    h-index

  3. Journal of Clinical Monitoring and Computing

    1 publications · 16 citations

    1

    h-index

  4. Building Simulation

    1 publications · 15 citations

    1

    h-index

  5. BMC Pulmonary Medicine

    1 publications · 40 citations

    1

    h-index

1–5