首页|Reports from Maastricht University Highlight Recent Findings in Machine Learning [Accurate Determination of Polyethylene (Pe) and Polypropyle ne (Pp) Content In Polyolefin Blends Using Machine Learning-assisted Differentia l Scanning Calorimetry ...]
Reports from Maastricht University Highlight Recent Findings in Machine Learning [Accurate Determination of Polyethylene (Pe) and Polypropyle ne (Pp) Content In Polyolefin Blends Using Machine Learning-assisted Differentia l Scanning Calorimetry ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Geleen, Ne therlands, by NewsRx correspondents, research stated, “Polyethylene(PE) and pol ypropylene (PP) are among the most recycled polymers. However, these polymers pr esentsimilar physicochemical characteristics and cross-contamination between th em is commonly observed,affecting the quality of the recyclates.”Financial supporters for this research include European Union (EU), FWO.
GeleenNetherlandsEuropeAlkenesCy borgsDifferential Scanning CalorimetryEmerging TechnologiesHydrocarbonsM achine LearningOrganic ChemicalsPolyenesPolyethylenesPolypropylenesMaa stricht University
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