Prediction of Indoor Bioaerosol Concentrations from Indoor Air Quality Sensor Data by Artificial Intelligence Models
The invention is an AI-based method for predicting bioaerosol concentrations (e.g. bacteria, fungi and pollen) in indoor air.
Prof. LEE Patrick Kwan Hon, Mr. LEE Yik Yeung, Mr. CHAU Lik Tak Ricky, Mr. MIAO Yanhao
- Indoor Air Quality Monitoring
- Bioaerosol Analysis
- Fluorescence-based Bioanalysis
- Artificial Intelligence
- Machine Learning
- Building Environments
- Building Management
- Bioanalysis
- Ventilation
