首页|New Machine Learning Data Have Been Reported by Researchers at University of Vie nna (Merging holography, fluorescence, and machine learning for in situ continuo us characterization and classification of airborne microplastics)
New Machine Learning Data Have Been Reported by Researchers at University of Vie nna (Merging holography, fluorescence, and machine learning for in situ continuo us characterization and classification of airborne microplastics)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Vienna, Austria, by NewsRx journalists, research stated, “The continued increase in globalplastic production and poor waste management ensures that plastic pollution will be a se rious environmentalconcern for years to come. Because of their size, shape, and relatively low density, plastic particlesbetween 1 and 1000 m in size (known a s microplastics or MPs) emitted directly into the environment (‘primary’)or cre ated due to degradation (‘secondary’) may be transported through the atmosphere, similarlyto other coarse-mode particles such as mineral dust.”
University of ViennaViennaAustriaE uropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
