首页|Researchers from University of Science and Technology China Report New Studies a nd Findings in the Area of Machine Learning (Identification Study of Soil Types Based On Feature Factors of Xrf Spectrum Combining With Machine Learning)
Researchers from University of Science and Technology China Report New Studies a nd Findings in the Area of Machine Learning (Identification Study of Soil Types Based On Feature Factors of Xrf Spectrum Combining With Machine Learning)
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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 reportingfrom Anhui, People’s Republic of Chi na, by NewsRx journalists, research stated, “Soil type significantlyinfluences the detection accuracy of heavy metals using X-ray fluorescence (XRF) technology . Rapid andaccurate soil type identification is crucial for selecting appropria te XRF quantitative analysis methods forsoil heavy metals, thereby enhancing an alysis accuracy.”
AnhuiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTechnologyUniversity of Sci ence and Technology China
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