下午 2:25 – 下午 4:05 并行会议 MT2 如何进行精彩演讲 第二部分,共 II 部分 109,FWCC MS28 复杂系统的物理增强数据驱动控制 第二部分,共 II 部分 沃斯堡宴会厅 4,Omni MS29 医学和生物学问题的计算方法 第二部分,共 II 部分 沃斯堡宴会厅 5,Omni MS30 耦合系统的决策制定 第一部分,共 II 部分 101,FWCC MS31 粒子方法的进展 第一部分,共 II 部分 102,FWCC MS32 定点迭代求解器的 Anderson 型加速 第二部分,共 II 部分 桑丹斯 1,Omni MS33 电磁波和等离子体计算方法的最新进展 第二部分,共 II 部分 桑丹斯 2,Omni MS34 物理系统模型的几何力学公式和结构保持离散化 第一部分,共 II 部分 桑丹斯 3, Omni MS35 计算波动流体动力学:数学介绍和应用 II 106 的第二部分,FWCC MS36 具有挑战模型的高级 UQ - 软件和方法 II 108 的第二部分,FWCC MS37 计算磁流体动力学的最新进展 II 110A 的第一部分,FWCC MS39 利用新兴超级计算机的协同设计 II 111 的第二部分,FWCC MS40 GPU 加速线性求解器的新发展 II 112 的第二部分,FWCC
下午1:30 - 下午3:10 Concurrent Sessions Broader Engagement (BE): Lightning Talks 206, 2nd floor MS11 Incorporating Scientific Computation in Machine Learning: Theory and Applications 212-214, 2nd floor MS12 Compositional Foundations for Optimization and Data Science 215, 2nd floor MS13 Randomized Iterative Algorithms for Large- scale Matrix and Tensor Data 216, 2nd floor MS14 Probabilistic Methods in Machine Learning and Complex Systems 217, 2nd floor MS15 Mathematics of Trustworthy Machine Learning 218, 2nd floor MS16 Learning Nonlinear Differential Equations from Data 219, 2nd floor MS17 Recent Trends in Generative Models for Solving Probabilistic Inverse Problems 220, 2nd floor MS18 Scientific Computation Meets Deep Learning 221, 2nd floor MS19 Geometric Methods in Data Science and Imaging 222, 2nd floor MS20 BlackBox优化符合机器学习223,2nd Floor下午1:30 - 下午3:10 Concurrent Sessions Broader Engagement (BE): Lightning Talks 206, 2nd floor MS11 Incorporating Scientific Computation in Machine Learning: Theory and Applications 212-214, 2nd floor MS12 Compositional Foundations for Optimization and Data Science 215, 2nd floor MS13 Randomized Iterative Algorithms for Large- scale Matrix and Tensor Data 216, 2nd floor MS14 Probabilistic Methods in Machine Learning and Complex Systems 217, 2nd floor MS15 Mathematics of Trustworthy Machine Learning 218, 2nd floor MS16 Learning Nonlinear Differential Equations from Data 219, 2nd floor MS17 Recent Trends in Generative Models for Solving Probabilistic Inverse Problems 220, 2nd floor MS18 Scientific Computation Meets Deep Learning 221, 2nd floor MS19 Geometric Methods in Data Science and Imaging 222, 2nd floor MS20 BlackBox优化符合机器学习223,2nd Floor
(16:00-17:15), Location: G204-A • Paper #20 - A hybrid approach to Parkinson's disease detection using deep learning • Paper #22 - Predictive Analysis of Mental Health Using Machine Learning for Depression Prediction • Paper #32 - One-Class SVM for Anomaly Detection in WBANs: A Path to Energy-Efficient and Sustainable Digital Health • Paper #8 - Accident Detection and Prevention system using IoT and VANET • Paper #48 - 使用Pointpillars网络在LiDar Point云中的有效对象检测•纸质#42-智能货币识别系统,具有集成的面部功能分析,使用机器学习
1. 目的................................................................................................................ 6 2. 服务目标.................................................................................................... 6 3. 服务开始.................................................................................................... 7 4. 服务地点和指定区域.................................................................................... 7 5. 服务要求....................................................................................................... 8 6. 设备....................................................................................................... 9 7. 时间范围....................................................................................................... 10 8. 服务特定质量要求....................................................................................... 10 9. 服务退出....................................................................................................... 13 10. 排除....................................................................................................... 13 11. 性能要求................................................................................................. 13 12. 报告要求................................................................................................. 14 13. 信息安全................................................................................................. 16 14. 健康与安全 ................................................................................................ 16 15. 更广泛的成果 ................................................................................................ 17 16. 业务联系 ................................................................................................ 17 17. 联系 ................................................................................................................ 17 18. 付款和发票 ................................................................................................ 17 19. 供应商差旅 ...................................................................................................... 18 20. 定义 ................................................................................................................ 18
托儿所必须确保按照安大略省的常规免疫时间表的最新儿童的免疫接种是最新的。为了促进此信息的收集,操作员可以为父母/监护人提供讲义 - 报告您孩子的免疫接种(附录C)。父母/监护人每次接收免疫时都负责更新RCDHU。父母/监护人还必须为托儿机构提供其更新的免疫记录的副本,因为他们还必须在其设施中保留最新记录。一些托儿所可能会选择代表父母将孩子的免疫更新提交RCDHU。