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A Bayesian Optimized Framework for Fine Particulate Matter Forecasting in Environmental Monitoring Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Air pollution prediction with machine learning: a case study of Indian cities
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An outlier detection framework for Air Quality Index prediction using linear and ensemble models
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Enhanced data validation strategy of air quality monitoring network
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Air Quality Forecast using Convolutional Neural Network for Sustainable Development in Urban Environments
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Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework
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An Improved Sensor Calibration with Anomaly Detection and Removal
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Air Quality and Climate Connections
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Air pollution and human health risks: mechanisms and clinical manifestations of cardiovascular and respiratory diseases
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Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines
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ADF: An Anomaly Detection Framework for Large-Scale PM2.5 Sensing Systems
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Isolation-Based Anomaly Detection
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Anomaly Detection and Repairing for Improving Air Quality Monitoring
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Anomaly detection and assessment of PM 10 functional data at several locations in the Klang Valley, Malaysia
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Air Pollution Exposure and Cardiovascular Disease
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