Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan

Engineering & Materials Science

• Land use 100%
• Carbon monoxide 91%
• Learning algorithms 68%
• Machine learning 60%
• Random forests 17%
• Deep neural networks 16%

Earth & Environmental Sciences

• machine learning 83%
• carbon monoxide 82%
• temporal variation 69%
• land use 55%
• prediction 8%

Chemical Compounds

• Carbon Monoxide 72%