首页|Findings from University of West Attica Provide New Insights into Machine Learni ng (Laser Induced Fluorescence and Machine Learning: a Novel Approach To Micropl astic Identification)
Findings from University of West Attica Provide New Insights into Machine Learni ng (Laser Induced Fluorescence and Machine Learning: a Novel Approach To Micropl astic Identification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Athens, Greece, by NewsRx correspondents, research stated, “Identifying the types of materials such as plastics, microplastics, and oil pollutants is essential for understanding t heir effects on marine life. We propose a new methodology for the real-time dete ction and identification of microplastics in aquatic environments.” Financial support for this research came from University of West Attica. Our news editors obtained a quote from the research from the University of West Attica, “Our experiments are based on a compact Laser Induced Fluorescence (LIF) device, with machine learning techniques applied to classify the materials. A 4 05 nm CW laser excitation source effectively induces fluorescence spectra in the visible spectrum from material samples that are either floating or submerged in water. We examine known plastic pollutants in seawater, including polyethylene (PE), polypropylene (PP), polystyrene (PS) and polyethylene terephthalate (PET), as well as maritime fuels, lubricating oils, and other organic substances that are abundant in the marine environment. Our two-step identification process firs t employs machine learning algorithms to distinguish microplastics from other or ganic materials with a high degree of accuracy (97.6%).”
AthensGreeceEuropeCyborgsEmergin g TechnologiesMachine LearningUniversity of West Attica
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