Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction

• Main Authors: Yafouz, Ayman, AlDahoul, Nouar, Birima, Ahmed H., Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, Allawi, Mohammed Falah, Ahmed ElShafie, Ahmed Hussein Kamel
• Format: Article
• Published: Elsevier 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/33623/

Ozone (O3) is one of the common air pollutants. An increase in the ozone concentration can adversely affect public health and the environment such as vegetation and crops. Therefore, atmospheric air quality monitoring systems were found to monitor and predict ozone concentration. Due to complex form...