Development of a novel imputation framework for PM2.5 particle data in Pakistani cities using machine learning and statistical techniques
Introduction: Missing PM2.5 observations in environmental monitoring systems, caused by sensor malfunctions, communication failures, maintenance issues, and coverage gaps, compromise public health assessments and evidence-based air quality policymaking. Reliable imputation strategies are therefore e...
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| Other Authors: | , , , |
| Format: | article |
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2026
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| Online Access: | http://hdl.handle.net/11675/14388 https: |
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