首页|Liverpool John Moores University Reports Findings in Machine Learning (A proposa l for cut marks classification using machinelearning: Serrated vs. non-serrated , single vs. double-beveled knives)
Liverpool John Moores University Reports Findings in Machine Learning (A proposa l for cut marks classification using machinelearning: Serrated vs. non-serrated , single vs. double-beveled knives)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Liverpool, United King dom, by NewsRx correspondents, research stated, “In tool markidentification, th ere is still a lack of characteristics and methodologies standardization used to analyze anddescribe sharp force trauma marks on skeletal remains. This study p resents a classification method forcut marks on human bones, providing an appli cable methodology for their examination and the relevantterminology for describ ing cases of sharp force trauma.”
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