首页|University of Cape Town Reports Findings in Machine Learning (Machine Learning Demonstrates Dominance of Physical Characteristics over Particle Composition in Coal Dust Toxicity)

University of Cape Town Reports Findings in Machine Learning (Machine Learning Demonstrates Dominance of Physical Characteristics over Particle Composition in Coal Dust Toxicity)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to newsreporting originating in Cape Town, South Africa, by NewsRx journalists, research stated, “Mine dust hasbeen linked to the development of pneumoconiotic diseases such as silicosis and coal workers’ pneumoconiosis.Currently, it is understood that the physicochemical and mineralogical characteristics drive thetoxic nature of dust particles; however, it remains unclear which parameter(s) account for the differentialtoxicity of coal dust.”

Cape TownSouth AfricaAfricaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.23)