首页|Researchers from Simon Fraser University Report Recent Findings in Machine Learn ing (Machine Learning Classification of Air Quality Monitoring Stations To Achie ve Ambient No2 Objectives Using Emission Scenarios and Chemical Transport …)
Researchers from Simon Fraser University Report Recent Findings in Machine Learn ing (Machine Learning Classification of Air Quality Monitoring Stations To Achie ve Ambient No2 Objectives Using Emission Scenarios and Chemical Transport …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reporting outof Surrey, Canada, by NewsRx edi tors, research stated, “Exceeding the latest Canadian Ambient Air QualityStanda rds (CAAQS) for NO2 concentration in Canadian cities motivates discussions on ne w policies anddirectives. Advanced air quality modeling and machine learning cl ustering algorithms integrating theWeather Research Forecast (WRF) and Communit y Multiscale Air Quality (CMAQ) models were used toclassify air quality monitor ing (AQM) stations based on pollution concentration modeling results.”
SurreyCanadaNorth and Central Americ aCyborgsEmerging TechnologiesMachine LearningSimon Fraser University
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