Papers with air quality prediction

2 papers
Enhancing Air Quality Prediction with Social Media and Natural Language Processing (P19-1)

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Challenge: predicting air quality is a major concern for human health, but the changes of air quality conditions are still difficult to monitor.
Approach: They propose to exploit social media and natural language processing techniques to enhance air quality prediction.
Outcome: The proposed approach improves air quality prediction over baseline that does not use social media by 6.9% to 17.7% in macro-F1 scores.
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices (2025.findings-emnlp)

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Challenge: Recent efforts in hardware-aware neural architecture search (NAS) automate architecture discovery for specific platforms; however, none focus on general time-series analysis with edge deployment.
Approach: They propose a framework that reformulates NAS into ***M***ulti-***O***bjective ***N***eural ***A***rchitecture ***Q***uerying tasks.
Outcome: Experiments on 15 datasets show that the proposed framework outperforms both handcrafted models and NAS baselines while being more efficient.

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