2023
DOI: 10.3390/ai4040040
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Unveiling the Transparency of Prediction Models for Spatial PM2.5 over Singapore: Comparison of Different Machine Learning Approaches with eXplainable Artificial Intelligence

M. S. Shyam Sunder,
Vinay Anand Tikkiwal,
Arun Kumar
et al.

Abstract: Aerosols play a crucial role in the climate system due to direct and indirect effects, such as scattering and absorbing radiant energy. They also have adverse effects on visibility and human health. Humans are exposed to fine PM2.5, which has adverse health impacts related to cardiovascular and respiratory-related diseases. Long-term trends in PM concentrations are influenced by emissions and meteorological variations, while meteorological factors primarily drive short-term variations. Factors such as vegetati… Show more

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Cited by 3 publications
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“…As an excellent model in deep learning, the convolutional neural network (CNN) is widely used in classification recognition, overcomes the shortcomings of traditional classification recognition methods, can automatically learn valuable features from the original data, and largely gets rid of expert experience. CNN can process a large amount of data, and effectively extract data features and classify them [12].…”
Section: Introductionmentioning
confidence: 99%
“…As an excellent model in deep learning, the convolutional neural network (CNN) is widely used in classification recognition, overcomes the shortcomings of traditional classification recognition methods, can automatically learn valuable features from the original data, and largely gets rid of expert experience. CNN can process a large amount of data, and effectively extract data features and classify them [12].…”
Section: Introductionmentioning
confidence: 99%