Enhanced air quality index prediction using a hybrid convolutional network

• المؤلفون الرئيسيون: Pei-Chun Lin, Pei-Chun Lin, Arbaiy, Nureize, Yu, Chen-Yu, Mohd Salikon, Mohd Zaki
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: TD Environmental technology. Sanitary engineering
• الوصول للمادة أونلاين: http://eprints.uthm.edu.my/11942/1/P17174_dfe5174c6d5badc8744a78af722c8558.pdf; http://eprints.uthm.edu.my/11942/; https://doi.org/10.1007/978-3-031-66965-1_29

Accurate air quality forecasting is critical for decreasing pollution and protecting public health. A hybrid model combining the Temporal Convolution Network (TCN) and the Graph Convolution Network (GCN) has been developed to predict air pollution with high accuracy and minimise the associated healt...