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实体 Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data

Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data

PulseAugur coverage of Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data — every cluster mentioning Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_105098 ·

    可解释深度学习框架通过碰撞分析核结构

    研究人员开发了一种新颖的可解释多任务深度学习框架，用于分析超外围碰撞（UPCs），以更精确地理解核结构。该框架将横向动量分布映射到各种核结构指标，并确定了推断的关键运动学区域。该方法通过在$^{96}{40}Zr + ^{96}{40}Zr$碰撞中使用相干$J/\psi$光生产进行了演示，有效地分离了衍射主导和干涉主导的信息。