M. Işık

Prediction of Indoor CO2 Concentration in a University Hospital Using Machine Learning Algorithms

Machine Learning (ML) models effectively capture complex, nonlinear, multimodal, and time-dependent patterns in indoor environments. In thisstudy, the relationship between indoor CO2 concentrations and environmental variables in different areas of a university hospital was investigated using ML methods. The dataset is...