首页|University of Florence Researchers Publish Findings in Machine Learning (Using i nternal standards in time-resolved X-ray microcomputed tomography to quantify g rain-scale developments in solid-state mineral reactions)
University of Florence Researchers Publish Findings in Machine Learning (Using i nternal standards in time-resolved X-ray microcomputed tomography to quantify g rain-scale developments in solid-state mineral reactions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Florence, Italy, by Ne wsRx editors, the research stated, “X-ray computed tomography has establishedit self as a crucial tool in the analysis of rock materials, providing the ability to visualise intricate 3D microstructuresand capture quantitative information a bout internal phenomena such as structural damage,mineral reactions, and fluid- rock interactions. The efficacy of this tool, however, depends significantlyon the precision of image segmentation, a process that has seen varied results acro ss different methodologies,ranging from simple histogram thresholding to more c omplex machine learning and deep-learningstrategies.”
University of FlorenceFlorenceItalyEuropeComputed TomographyCyborgsEmerging TechnologiesImaging TechnologyMachine LearningTechnology
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