Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment
#4PRI RANKED
Most Cited Paper
in Air Quality and Health Impacts
18 Months Post-Publication
Class of 2026
“Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
chrome plating industry · hexavalent chromium · Volatile organic compounds (VOCs) · particulate matter · PM2.5 · PM10 · IoT sensors · Long short-term memory (LSTM) · Random Forest · Linear Regression model · real-time air quality monitoring · Air quality forecasting · NH3 detection · CO detection · NO2 detection · SO2 detection · O3 detection · automated exhaust fan control · Environmental monitoring · proactive pollution mitigation
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Air Quality and Health Impacts Papers, Class of 2026. https://pri.pepkio.com/top-papers/air-quality-and-health-impacts/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459