首页|Reykjavik University Reports Findings in Machine Learning (Highperformance mach ine-learning-based calibration of low-cost nitrogen dioxide sensor using environ mental parameter differentials and global data scaling)
Reykjavik University Reports Findings in Machine Learning (Highperformance mach ine-learning-based calibration of low-cost nitrogen dioxide sensor using environ mental parameter differentials and global data scaling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Reykjavik, Iceland, by N ewsRx journalists, research stated, “Accurate tracking of harmfulgas concentrat ions is essential to swiftly and effectively execute measures that mitigate the risks linked toair pollution, specifically in reducing its impact on living con ditions, the environment, and the economy.One such prevalent pollutant in urban settings is nitrogen dioxide (NO), generated from the combustionof fossil fuel s in car engines, commercial manufacturing, and food processing.”
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