首页|University of Tehran Researchers Describe Research in Machine Learning (Explorin g interacting effects of risk factors on run-offroad crash severity: An interpr etable machine learning model joint with latent class clustering)
University of Tehran Researchers Describe Research in Machine Learning (Explorin g interacting effects of risk factors on run-offroad crash severity: An interpr etable machine learning model joint with latent class clustering)
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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 reportingout of Tehran, Iran, by NewsR x editors, research stated, “Run-Off-Road (ROR) crashes are frequent andpose a significant risk of injury and fatality. Given the complexity of their mechanism s and the interactionof multiple factors, this study aims to comprehensively in vestigate the factors influencing the severity ofROR crashes, which have been u nderstudied.”
University of TehranTehranIranAsiaCyborgsEmerging TechnologiesMachine LearningRisk and Prevention
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