首页|Faculty of Science Reports Findings in Machine Learning (In-situ detection of mi croplastics in the aquatic environment: A systematic literature review)
Faculty of Science Reports Findings in Machine Learning (In-situ detection of mi croplastics in the aquatic environment: A systematic literature review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Sligo, Ireland, by New sRx correspondents, research stated, “Microplastics are ubiquitous in the aquati c environment and have emerged as a significant environmental issue due to their potential impacts on human health and the ecosystem. Current laboratory-based m icroplastic detection methods suffer from various drawbacks, including a lack of standardisation, limited spatial and temporal coverage, high costs, and time-co nsuming procedures.”
SligoIrelandEuropeCyborgsEmergin g TechnologiesMachine LearningTechnology
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