Prediction of school PM

• Tác giả: Hanaa Aamer, Abdulrahman H Ba-Alawi, Young-Min Jo, Seokwon Kang, Taejung Lee
• Ngôn ngữ: eng
• Ký hiệu phân loại: 809.008 History and description with respect to kinds of persons
• Thông tin xuất bản: England : Chemosphere , 2025
• Bộ sưu tập: NCBI
• ID: 710268

Tóm tắt

Predicting indoor air pollutants concentrations in schools is essential for ensuring a healthy learning environment. Traditional measurements methods pose challenges in cost, maintenance, and time. This study proposes a new approach using a deep learning (DL)-based soft sensor to predict PM