Modeling Fine-grained spatio-temporal pollution maps with low-cost sensors
TLDR Air quality data was collected in Delhi, India using a combination of low-cost (Kaiterra) sensors and existing government sensors over 2 years. Using a neural network based mode researchers were able to predict next day pollution levels to within 10%. Abbreviations Motivation and Approach Pollution prediction in densely populated cities is critical to guide …
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