首页|Data from Northeastern University Advance Knowledge in Machine Learning (Fadc-vi s: a Novel Ore Classification Method Based On Near-infrared Visible Spectrum and Contrast-enhanced Deep Network)
Data from Northeastern University Advance Knowledge in Machine Learning (Fadc-vi s: a Novel Ore Classification Method Based On Near-infrared Visible Spectrum and Contrast-enhanced Deep Network)
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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 Shenyang, People’s Republic o f China, by NewsRx correspondents, research stated, “As one ofthe main strategi c resources in modern society, reasonable classification of iron ore can signifi cantly enhance resource utilization, reduce production costs, and minimize emiss ions, which is crucial for boththe metallurgical industry and environmental pro tection. In recent years, the task of ore classificationhas often relied on nea r-infrared to mid-infrared spectral analysis methods based on machine learning models.”
ShenyangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNortheastern University
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