首页|Study Findings from University of Cape Town Provide New Insights into Machine Le arning (Imaging-based Lensless Polarizationsensitive Fluid Stream Analyzer for Automated, Label-free, and Cost-effective Microplastic Classification)
Study Findings from University of Cape Town Provide New Insights into Machine Le arning (Imaging-based Lensless Polarizationsensitive Fluid Stream Analyzer for Automated, Label-free, and Cost-effective Microplastic Classification)
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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 originatingfrom Cape Town, South Africa, by N ewsRx correspondents, research stated, “The presence of microplasticsin the env ironment is of significant concern, yet the exact extent of this pollution remai ns largely unknown.The ocean is of particular interest as the monitoring of mic roplastics presents a challenge in that in situfluid stream solutions are not r eadily available and traditional sampling methods are labor-intensive andcostly .”
Cape TownSouth AfricaAfricaMachine LearningUniversity of Cape Town
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